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Generated Nov 10, 2026
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growth playbook · Nov 10, 2026

standout.work (opens in a new tab)

Standout growth playbook

Diagnosis

Standout is a seven-person, Y Combinator Spring 2026 company with real early traction (10,000+ builders represented, 60+ startups matched) and a large SEO footprint: 167 blog posts in six months and a job board of 37,419 roles. Its hiring says the next step is clear: "The product works"; the bottleneck is supply and getting candidates in front of clients, so it is hiring a founding talent scout, content creators and a product engineer.

The gaps are in how the site proves and prices that product. The homepage proof band is served as "0+ builders, 0% founder reply rate" to every reader that does not run JavaScript, the companies page never states the fee, /yc returns 404, comparisons are split across two sections, and real visitors fail Core Web Vitals on a page that is half fonts.

This playbook fixes the proof, price and speed first, then turns the job board and blog into intro requests, gives scouts measurable channels, and builds toward a self-serve shortlist preview and a portable builder profile.

Growth Score

7/10

Biggest Opportunity

Turn the traffic Standout already earns (37,419 job pages, 167 posts, a CLI engineers can run) into intro requests and company signups, with proof and pricing a founder can read without booking a call.

Biggest Risk

Two-sided marketplaces die on liquidity: Jack & Jill claims 433,929 professionals and 6,486 companies on the same pay-on-hire model, Paraform and Wellfound sell to the same founders, and a seven-person team can spread itself too thin across content, sales and product.

01

Start here

The three moves to make first. Each one is written up in full below.

  1. 1

    Put the price on the companies page: a success fee only on hire, the guarantee window, and the math against a 20-30% agency fee

    Write the fee and guarantee terms in three sentences and agree them between the founders.

    High impact First result in 2 weeks
  2. 2

    Your homepage tells search engines and AI assistants you have represented 0 builders with a 0% founder reply rate: put the real numbers in the page

    View the page source, search for "Builders Represented" and replace the 0 seed value with 10,000+ today.

    High impact First result in 2 weeks
  3. 3

    Add three hiring-founder quotes, with time to hire, next to the 25 logos

    Email the five most recent hiring founders for a quote and their time to hire.

    Medium impact First result in 3 weeks

02

Your idea portfolio

23 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

  • 8 ideas are marked Unexpected: plays you are unlikely to have tried.

Every idea placed by the effort it takes against the impact it could have. Quick wins sit top left; select a number to open that idea. The filters below narrow the list by status, timing, category and what Programmable can build.

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 3Big bets · 7Fill-ins · 8Reconsider · 5
Effort →

Showing 23 of 23 ideas

This week 8

Quick wins with a clear first action.

  • 01

    The homepage proof band counts up in the browser, but the HTML Standout serves reads "0+ Builders Represented", "< 0d Avg Intro To Offer" and "0% Founder Reply Rate", and the four "Without Standout" vs "With Standout" points have no words at all, only 01-04. We fetched it twice with the same result. Every reader that does not run JavaScript (search crawlers, the AI assistants Standout courts with its own /ai page, link previews, reader modes) and every phone that has not finished loading 1.95 MB of JavaScript sees zeros. Meanwhile /vision and the YC profile say 10,000+ builders and 60+ startups matched. The best proof the company has is missing from the version of the page that gets quoted.

    High impactLow effort First result in 2 weeks Founding AI Product Engineer

    First action

    View the page source, search for "Builders Represented" and replace the 0 seed value with 10,000+ today.

    How to measure it

    Homepage signup rate

    Now
    –
    Target
    +15%
    By
    60 days

    Steps

    1. 1

      Confirm the served values

      Fetch the homepage with JavaScript off and list every counter and empty block.

      Founding AI Product Engineer 1 hour

    2. 2

      Agree the numbers

      Builders represented and startups matched from /vision; pull founder reply rate and intro-to-offer days from intro records, or drop them until they are solid.

      Founder & CEO 1 day

    3. 3

      Render server-side

      Seed each counter with its final value and animate from it after hydration.

      Founding AI Product Engineer half a day

    4. 4

      Write the four points

      Put the Without/With comparison in the HTML as text.

      Content Creator 2 hours

    5. 5

      Align other pages

      Same numbers on /company, /ai and /vision, with an as-of date.

      Content Creator half a day

    6. 6

      Add a guard

      A build check that fails if the served proof band contains a zero.

      Founding AI Product Engineer 2 hours

    7. 7

      Measure

      Signup rate before and after, and spot-check how assistants and search snippets describe Standout each month.

      Founder & CEO monthly

    First result
    2 weeks
    Cost
    Engineering time only
    Owner
    Founding AI Product Engineer

    Smallest test

    Change the builders counter's seed value from 0 to 10,000+ and check the served HTML.

    Why it works

    Put the final values in the server-rendered HTML and animate from them, or start the count only after hydration so the served number is always the true one. Use the published figures (10,000+ builders, 60+ startups) now, and fill the two stats that are not published anywhere (days from intro to offer, founder reply rate) from intro data, or replace them with published numbers until they exist. Render the four Without/With points as plain text. Repeat the same three numbers on /company and /ai so every page tells one story, and add a build check that fails if the served homepage contains "0+" or "0%" in the proof band.

    Proof that only exists after JavaScript runs is not proof for the readers that summarise Standout to other people. Assistants and search engines quote what they fetch, and for an intro business the founder reply rate is the number that sells to both sides. It is a two-day fix to a page that already earns the traffic.

    Ready to use

    ChecklistProof band check

    [ ] Served HTML shows 10,000+ builders represented
    [ ] Served HTML shows 60+ startups matched
    [ ] Founder reply rate: real figure with definition, or removed
    [ ] Intro-to-offer days: real figure, or removed
    [ ] Without/With points written in the HTML
    [ ] Same numbers on /company, /ai and /vision with an as-of date
    [ ] Build fails if the proof band is served as 0

    Risks and how to handle them

    • A live reply rate looks weaker than the animation suggested

      Publish it with its definition and sample size; a real 40% beats an implied 100%.

    • Numbers go stale as the network grows

      Read them from one source and show an as-of date.

    Evidence

    • Your websiteHomepage (fetched twice, November 9, 2026): in the page as served, the proof band reads "0+" Builders Represented, "< 0d" Avg Intro To Offer and "0%" Founder Reply Rate, and the "Without Standout" vs "With Standout" block shows only the numbers 01-04 with no wording. H1 "Get introduced to your dream role."; "The top 5% get represented"; a four-step flow (connect LinkedIn, chat, hand-picked roles, booking); one candidate testimonial; an "Earn $3,000" referral banner.Source
    • Your websiteVision page: "10,000+ builders represented" and "60+ startups matched", "from P26 pre-seed teams to Series B unicorns"; "We don't sell software, we deliver introductions"; recruiters charge "20–30%" of first-year salary; talent is free and companies pay only on a successful hire, with no retainer or exclusivity.Source
    • Your website"Standout for AI assistants" page (/ai): companies "pay a success fee only when they hire", with no retainer or exclusivity and fees refundable within a guarantee window; most briefs yield a first shortlist within 24 hours; integrations listed: Greenhouse, Lever, Ashby, Slack and Notion; network deepest in San Francisco, New York and Europe.Source
    • Google PageSpeedMobile performance 64/100 (desktop 78); real visitors fail Core Web Vitals on LCP (p75 2.8 s) and INP (p75 204 ms); the homepage weighs 5.4 MB in 109 requests, of which fonts are 2.9 MB and JavaScript 1.95 MB; 725 KB of unused JavaScript and about 0.85 s of render-blocking requests; 16 third-party services, the heaviest Facebook (280 KB), Google Tag Manager (192 KB) and TikTok (158 KB), plus Clarity, Bing Ads and Google Ads tags.Source
  • 02

    Standout's /ai page tells assistants that companies pay a success fee only on hire, with no retainer or exclusivity and a refund within a guarantee window, and /vision says agencies charge 20-30% of first-year salary. But /company and the companies getting-started guide state no fee and no guarantee, so a founder comparing Wellfound's free posting or Paraform's demo has to book a call to learn the one term that matters. The blog has just published a pay-on-hire vs retainer vs RPO comparison, yet Standout's own price is not on it.

    High impactLow effort First result in 2 weeks Founder & CEO

    First action

    Write the fee and guarantee terms in three sentences and agree them between the founders.

    How to measure it

    Company brief starts from /company

    Now
    –
    Target
    +25%
    By
    60 days

    Steps

    1. 1

      Set the terms

      Fee basis, when it is due, guarantee window and refund rule.

      Founder & CEO 1 day

    2. 2

      Write the block

      What is free, what is paid, what is guaranteed.

      Content Creator half a day

    3. 3

      Build the calculator

      Salary in, Standout fee vs 20% and 30% agency fees out.

      Founding AI Product Engineer 2 days

    4. 4

      Update the docs

      Add pricing and time to first shortlist to the companies guide.

      Content Creator 2 hours

    5. 5

      Link it

      From the pricing-models post, /vs pages and /ai.

      Content Creator 1 hour

    6. 6

      Use it in outreach

      Scouts quote the calculator result in founder emails.

      Founding Sales / Talent Scout ongoing

    7. 7

      Track

      Brief starts and price questions on calls.

      Founder & CEO weekly

    First result
    2 weeks
    Cost
    Staff time only
    Owner
    Founder & CEO

    Smallest test

    Add one line, "You pay only when you hire" plus the guarantee, above the first CTA on /company.

    Why it works

    Add a short pricing block to /company: the success fee (a percentage or a flat fee per hire by role level), when it is charged, the guarantee window and refund rule, and what is free (intros, pre-screening, pipeline ops). Add a calculator for one hire at a given salary: Standout's fee against a 20% and a 30% agency fee. Link it from the pricing-models blog post and the comparison pages.

    Founders at pre-seed and seed are price-sensitive and self-serve; a visible, lower, pay-on-hire price is the clearest edge over agencies, and it removes a reason to delay the first brief.

    Risks and how to handle them

    • Locks in a price too early

      Publish it as the current price with a date; grandfather early customers.

    • Larger companies want custom terms

      Add "multiple hires? talk to us" under the block.

    Evidence

    • Your website"Standout for AI assistants" page (/ai): companies "pay a success fee only when they hire", with no retainer or exclusivity and fees refundable within a guarantee window; most briefs yield a first shortlist within 24 hours; integrations listed: Greenhouse, Lever, Ashby, Slack and Notion; network deepest in San Francisco, New York and Europe.Source
    • Your websiteFor-companies page: "Find your people. Not the same overhunted shortlist."; warm intros, on-demand sourcing from LinkedIn and GitHub, pre-screening (a demo shows 142 inbound cut to 6 forwarded) and pipeline ops; onboarding starts from the company URL (about 10 minutes in the demo) with intros sent via Slack; 25 customer logos; no price, fee or guarantee stated and no quotes from hiring companies; CTAs "Get your first intros today" and "Try it with your domain".Source
    • Your websiteVision page: "10,000+ builders represented" and "60+ startups matched", "from P26 pre-seed teams to Series B unicorns"; "We don't sell software, we deliver introductions"; recruiters charge "20–30%" of first-year salary; talent is free and companies pay only on a successful hire, with no retainer or exclusivity.Source
    • Your websiteBlog: newest posts include "Pay-on-Hire vs Retainer vs RPO: Startup Recruiting Pricing Models Compared (2026)" and "Recruiters vs an AI Talent Agent for Engineers" (November 6, 2026); stack posts such as "Go Engineers in 2026" and city posts such as "Software Engineer Jobs in Denver"; footer social links are X and LinkedIn only.Source
    • Competitor researchParaform: "Hire great people in days, not months", average time to hire 27 days, 10,000+ recruiters, 1,000+ companies, demo-led with no public price. Wellfound: 27,000+ startups, 10M+ candidates, free posting plus paid Reach and Autopilot. Mercor's homepage now leads with "organizing human intelligence to power the AI economy" (expert work and AI evaluations).Source
  • 03

    Standout's sitemap lists /yc as one of only 13 top-level pages, but it returned 404 Not Found on both of our checks. Standout is itself a Y Combinator Spring 2026 company, says it has matched "60+ startups, from P26 pre-seed teams to Series B unicorns", and its blog already targets YC searches (how to interview at a YC startup, the YC hiring process, the best way to get a job at a YC startup). The audience it knows best has a dead link.

    Medium impactLow effort First result in 2 weeks Founder & CEO

    First action

    Remove or redirect /yc today so the sitemap stops pointing at a 404.

    How to measure it

    YC company briefs

    Now
    –
    Target
    15 in 60 days
    By
    60 days

    Steps

    1. 1

      Stop the 404

      Redirect /yc to /company until the page ships.

      Founding AI Product Engineer 1 hour

    2. 2

      Write the page

      For batch founders: first hires, terms, how intros arrive.

      Content Creator 1 day

    3. 3

      Add proof

      YC customer logos already shown on /company, with permission.

      Founder & CEO 1 day

    4. 4

      Add the candidate side

      Link the YC interview and hiring-process guides.

      Content Creator 2 hours

    5. 5

      Ship

      Publish and keep /yc in the sitemap.

      Founding AI Product Engineer half a day

    6. 6

      Share

      Founders post it to batch and alumni channels.

      Founder & CEO 1 day

    7. 7

      Track

      Briefs started from /yc.

      Founder & CEO monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Founder & CEO

    Smallest test

    Redirect /yc and post the /company link in one batch channel.

    Why it works

    Rebuild /yc as a page for YC founders: how Standout works for a batch company hiring its first engineers, designers and GTM leads, the pay-on-hire terms, published YC customer logos, and a one-click brief from the company URL. Add a candidate section that links the YC blog guides. If it cannot ship this week, remove /yc from the sitemap the same day.

    Batch-mates hire at the same time, talk to each other and trust a fellow YC company; a working page gives scouts and founders one link to share in batch channels.

    Risks and how to handle them

    • Looks exclusive to non-YC startups

      Keep /company as the main path and link it from /yc.

    Evidence

    • Your websiteSitemap (checked November 9, 2026): 13 top-level pages including /yc, which returned 404 Not Found on two checks; 167 blog posts from May 1 to November 6, 2026, including about 25 "<company> engineering jobs" guides, with overlapping pairs such as /blog/anthropic-engineering-jobs (May 2) and /blog/anthropic-engineering-jobs-apply (August 18); /vs holds three comparisons (Wellfound, Mercor, Hired) while five more sit on the blog (Triplebyte, Otta, AngelList Talent, Vettery and a second Hired page); 6 job category pages; 9 location pages (8 US cities and London); 40 company careers pages.Source
    • Your websiteVision page: "10,000+ builders represented" and "60+ startups matched", "from P26 pre-seed teams to Series B unicorns"; "We don't sell software, we deliver introductions"; recruiters charge "20–30%" of first-year salary; talent is free and companies pay only on a successful hire, with no retainer or exclusivity.Source
    • HiringCareers page: founded 2025, Y Combinator Spring 2026, "Seven people in San Francisco", "Hiring now: Sales and content"; mission "Help us give every great builder an agent of their own."Source
  • 04

    Standout's comparisons are split: /vs has three pages (Wellfound, Mercor, Hired), and five more live on the blog (Triplebyte, Otta, AngelList Talent, Vettery and a second Hired page), so two pages compete for "Standout vs Hired". All of them are written for candidates, and /vs/hired carries no date. None covers what a hiring founder compares today: Jack & Jill (an AI agent for each side, also pay on hire), Paraform (recruiters plus AI, 27-day average time to hire) or Wellfound Autopilot. Mercor's own homepage now leads with expert work for the AI economy, so the Mercor comparison needs a fresh look to stay "honest", as /vs promises.

    High impactMedium effort First result in 1 month Content Creator

    First action

    Redirect /blog/standout-vs-hired to /vs/hired and add a date to /vs/hired.

    How to measure it

    Conversions from comparison pages

    Now
    –
    Target
    40 a month
    By
    90 days

    Steps

    1. 1

      Inventory

      List the eight pages, their traffic and overlaps.

      Content Creator 1 day

    2. 2

      Merge and redirect

      Blog comparisons to /vs; one Hired page.

      Founding AI Product Engineer 1 day

    3. 3

      Date and recheck

      Verify every rival's current offer from its own site.

      Content Creator 2 days

    4. 4

      Write company-side pages

      Jack & Jill, Paraform, Wellfound Autopilot, agency.

      Content Creator 1 week

    5. 5

      Founder review

      Check claims are fair and sourced.

      Founder & CEO 1 day

    6. 6

      Split the hub

      "If you're hiring" and "If you're looking" sections on /vs.

      Founding AI Product Engineer half a day

    7. 7

      Refresh

      Re-check every page each quarter.

      Content Creator quarterly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Content Creator

    Smallest test

    Publish Standout vs Jack & Jill for companies and measure briefs from it.

    Why it works

    Move the five blog comparisons into /vs with redirects and merge the two Hired pages into one. Date every page and add a "last checked" line. Add company-side comparisons (Standout vs Jack & Jill, Paraform, Wellfound Autopilot and a contingency agency), each with fees, who does the sourcing, candidate privacy, time to first shortlist and when you pay. Refresh /vs/mercor from Mercor's current homepage.

    Comparison searches come from people about to choose; one hub with dated, fair pages ranks better than eight scattered ones and gives scouts a link for every objection.

    Risks and how to handle them

    • Out-of-date or unfair claims about rivals

      Quote rivals' own pages, date each page, and avoid claims about their status you cannot confirm.

    Evidence

    • Your websiteSitemap (checked November 9, 2026): 13 top-level pages including /yc, which returned 404 Not Found on two checks; 167 blog posts from May 1 to November 6, 2026, including about 25 "<company> engineering jobs" guides, with overlapping pairs such as /blog/anthropic-engineering-jobs (May 2) and /blog/anthropic-engineering-jobs-apply (August 18); /vs holds three comparisons (Wellfound, Mercor, Hired) while five more sit on the blog (Triplebyte, Otta, AngelList Talent, Vettery and a second Hired page); 6 job category pages; 9 location pages (8 US cities and London); 40 company careers pages.Source
    • Your websiteComparisons: /vs promises "Honest, side-by-side looks at Standout versus other ways to get hired in tech" and lists Wellfound, Mercor and Hired, all from the candidate's side; /vs/hired carries no date and describes Hired in the present tense; its pricing row says "Free for candidates; companies pay a success fee only on hire".Source
    • Competitor researchJack & Jill's homepage: an AI career agent for candidates and an AI hiring agent for companies; companies pay only when they hire; claims 433,929 professionals and 6,486 companies; links a Bias Report and a third-party assurance of its AI candidate matching.Source
    • Competitor researchParaform: "Hire great people in days, not months", average time to hire 27 days, 10,000+ recruiters, 1,000+ companies, demo-led with no public price. Wellfound: 27,000+ startups, 10M+ candidates, free posting plus paid Reach and Autopilot. Mercor's homepage now leads with "organizing human intelligence to power the AI economy" (expert work and AI evaluations).Source
  • 05

    About 25 of Standout's 167 posts are "<company> engineering jobs" guides, and some employers have two: the sitemap shows one employer with a May 2 guide and an August 18 "-apply" guide chasing the same search. Two pages for one query split links and rankings, and the older one keeps comp and process details that may have changed.

    Medium impactLow effort First result in 1 month Content Creator

    First action

    Merge the first duplicate pair in the sitemap and redirect the weaker URL.

    How to measure it

    Employer-guide organic clicks

    Now
    –
    Target
    +20%
    By
    90 days

    Steps

    1. 1

      Find the pairs

      Group guides by employer from the sitemap.

      Content Creator half a day

    2. 2

      Pick the keeper

      The URL with more clicks and links.

      Content Creator half a day

    3. 3

      Merge facts

      Newest comp, loop and roles into the keeper.

      Content Creator 2 days

    4. 4

      Redirect

      301 the other URL and drop it from the sitemap.

      Founding AI Product Engineer 1 hour

    5. 5

      Add the end block

      Live roles and an intro offer.

      Founding AI Product Engineer 1 day

    6. 6

      Date them

      Visible updated date on every guide.

      Content Creator 2 hours

    7. 7

      Review

      Search Console clicks per guide.

      Content Creator monthly

    First result
    1 month
    Cost
    $0
    Owner
    Content Creator

    Smallest test

    Merge one duplicate pair and compare clicks after four weeks.

    Why it works

    List every employer with more than one guide, keep the stronger URL, merge the newer facts into it, redirect the other, and add an "updated" date. Give each surviving guide the same end block: live roles at that company from the Standout board and the offer to be introduced to similar founders.

    One strong page outranks two weak ones, and merging is faster than writing. Employer-name searches are high intent for exactly the engineers Standout represents.

    Risks and how to handle them

    • Short-term ranking dip after redirects

      Redirect to the closest page and keep the strongest URL.

    Evidence

    • Your websiteSitemap (checked November 9, 2026): 13 top-level pages including /yc, which returned 404 Not Found on two checks; 167 blog posts from May 1 to November 6, 2026, including about 25 "<company> engineering jobs" guides, with overlapping pairs such as /blog/anthropic-engineering-jobs (May 2) and /blog/anthropic-engineering-jobs-apply (August 18); /vs holds three comparisons (Wellfound, Mercor, Hired) while five more sit on the blog (Triplebyte, Otta, AngelList Talent, Vettery and a second Hired page); 6 job category pages; 9 location pages (8 US cities and London); 40 company careers pages.Source
    • Your websiteJob board: "37,419 opportunities". Job pages carry "Talk to Standout", "Let me introduce you to the founders.", "Skip the process" and a $3,000 referral box. The London page ("Startup Jobs in London | 1,405 Open Roles") has only "Join" and "Earn $3,000" calls to action and no prompt to get matched.Source
  • 06

    The /ai page lists integrations with Greenhouse, Lever, Ashby, Slack and Notion, but the docs only have an Ashby setup guide, a Slack entry with no setup detail, and tell everyone else to email. A founder on Greenhouse or Lever who checks the docs before a brief finds nothing, and the pipeline-ops promise on /company ("your ATS gets quieter, not louder") depends on that connection.

    Medium impactMedium effort First result in 1 month Founding AI Product Engineer

    First action

    Confirm which of the five integrations are live today.

    How to measure it

    First-week ATS connections

    Now
    –
    Target
    50% of new companies
    By
    90 days

    Steps

    1. 1

      Confirm status

      Live, beta or planned for each integration.

      Founding AI Product Engineer 1 day

    2. 2

      Fix /ai

      Match the list to what is live.

      Content Creator 1 hour

    3. 3

      Write Greenhouse

      Setup, permissions, what syncs.

      Founding AI Product Engineer 2 days

    4. 4

      Write Lever

      Same template.

      Founding AI Product Engineer 2 days

    5. 5

      Write Slack and Notion

      How intros and briefs flow.

      Founding AI Product Engineer 2 days

    6. 6

      Link from onboarding

      Show the right guide after the company picks its ATS.

      Founding AI Product Engineer 1 day

    7. 7

      Track

      Connections and time to connect.

      Founder & CTO monthly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Founding AI Product Engineer

    Smallest test

    Publish the Greenhouse guide and track its use.

    Why it works

    Write one setup page per promised integration in the same shape as the Ashby guide: what syncs (roles, stages, rejections, scheduling), permissions needed, time to connect and a screenshot. Fill in the Slack page. If an integration is not live yet, say "coming soon" on /ai instead of listing it.

    The ATS is where a startup's hiring lives; a clear guide removes a buying question, and matching claims across /ai and docs keeps assistants and buyers from finding a contradiction.

    Risks and how to handle them

    • Documenting an integration that is not finished

      Label beta features clearly.

    Evidence

    • Your website"Standout for AI assistants" page (/ai): companies "pay a success fee only when they hire", with no retainer or exclusivity and fees refundable within a guarantee window; most briefs yield a first shortlist within 24 hours; integrations listed: Greenhouse, Lever, Ashby, Slack and Notion; network deepest in San Francisco, New York and Europe.Source
    • Your websiteDocs (9 pages): the integration guides cover Ashby (with setup steps) and Slack (listed, no setup detail); the companies getting-started guide covers sharing roles, reviewing matches and starting conversations, with no pricing and no time to first intro; other setups are told to email.Source
    • Your websiteFor-companies page: "Find your people. Not the same overhunted shortlist."; warm intros, on-demand sourcing from LinkedIn and GitHub, pre-screening (a demo shows 142 inbound cut to 6 forwarded) and pipeline ops; onboarding starts from the company URL (about 10 minutes in the demo) with intros sent via Slack; 25 customer logos; no price, fee or guarantee stated and no quotes from hiring companies; CTAs "Get your first intros today" and "Try it with your domain".Source
  • 07

    The companies page shows 25 customer logos but no words from a hiring company; its only people are illustrative candidate cards and a sample intro. The homepage has one candidate story. For a founder deciding whether to trust an agent with their first hires, a peer saying "we hired our founding engineer in N weeks" is the proof that matters, and Standout has 60+ matched startups to ask.

    Medium impactLow effort First result in 3 weeks Founding Sales / Talent Scout

    First action

    Email the five most recent hiring founders for a quote and their time to hire.

    How to measure it

    /company brief rate

    Now
    –
    Target
    +15%
    By
    60 days

    Steps

    1. 1

      Pick founders

      Five recent hires across stages.

      Founding Sales / Talent Scout 1 day

    2. 2

      Ask

      Two lines, role filled, days to offer, permission.

      Founding Sales / Talent Scout 1 week

    3. 3

      Edit

      Keep their words; add role and time.

      Content Creator 1 day

    4. 4

      Publish

      Three on /company, one on /yc and comparisons.

      Founding AI Product Engineer half a day

    5. 5

      Use in outreach

      Send the quote closest to the prospect's stage.

      Founding Sales / Talent Scout ongoing

    6. 6

      Refresh

      Add new quotes each month.

      Content Creator monthly

    First result
    3 weeks
    Cost
    $0
    Owner
    Founding Sales / Talent Scout

    Smallest test

    Add one quote above the first CTA this week.

    Why it works

    Ask the founders of recent hires for a two-line quote, the role filled and days from brief to signed offer. Put three on /company beside the logos and one on /yc and each company-side comparison page. Keep a running list so scouts can send the closest match (same stage, same role) in outreach.

    Logos say who; quotes say what happened. Specific time-to-hire claims from peers answer the question founders ask first.

    Risks and how to handle them

    • Founders slow to reply

      Draft the quote from their own messages and ask them to approve.

    Evidence

    • Your websiteFor-companies page: "Find your people. Not the same overhunted shortlist."; warm intros, on-demand sourcing from LinkedIn and GitHub, pre-screening (a demo shows 142 inbound cut to 6 forwarded) and pipeline ops; onboarding starts from the company URL (about 10 minutes in the demo) with intros sent via Slack; 25 customer logos; no price, fee or guarantee stated and no quotes from hiring companies; CTAs "Get your first intros today" and "Try it with your domain".Source
    • Your websiteHomepage (fetched twice, November 9, 2026): in the page as served, the proof band reads "0+" Builders Represented, "< 0d" Avg Intro To Offer and "0%" Founder Reply Rate, and the "Without Standout" vs "With Standout" block shows only the numbers 01-04 with no wording. H1 "Get introduced to your dream role."; "The top 5% get represented"; a four-step flow (connect LinkedIn, chat, hand-picked roles, booking); one candidate testimonial; an "Earn $3,000" referral banner.Source
    • Your websiteVision page: "10,000+ builders represented" and "60+ startups matched", "from P26 pre-seed teams to Series B unicorns"; "We don't sell software, we deliver introductions"; recruiters charge "20–30%" of first-year salary; talent is free and companies pay only on a successful hire, with no retainer or exclusivity.Source
  • 08

    Google PageSpeed shows the homepage at 5.4 MB, and 2.9 MB of that is fonts, more than all the JavaScript (1.95 MB). Real visitors fail Core Web Vitals on both LCP (2.8 s at the 75th percentile) and INP (204 ms), and the largest element is the H1 itself, which waits for its font. Mobile performance scores 64.

    Medium impactLow effort First result in 4 weeks Founding AI Product Engineer

    First action

    List every font file the homepage loads with its size and weight.

    How to measure it

    Core Web Vitals (field)

    Now
    –
    Target
    LCP under 2.5 s and INP under 200 ms
    By
    60 days

    Steps

    1. 1

      Audit fonts

      Files, weights, formats and where each is used.

      Founding AI Product Engineer 2 hours

    2. 2

      Subset and trim

      WOFF2, used characters, fewer weights.

      Founding AI Product Engineer 1 day

    3. 3

      Preload the H1 font

      With font-display swap.

      Founding AI Product Engineer 1 hour

    4. 4

      Trim JavaScript

      Split or drop the unused 725 KB.

      Founding AI Product Engineer 2 days

    5. 5

      Remove render blocking

      Defer non-critical CSS and scripts.

      Founding AI Product Engineer 1 day

    6. 6

      Re-test

      PageSpeed lab and 28-day field data.

      Founder & CTO monthly

    First result
    4 weeks
    Cost
    Engineering time only
    Owner
    Founding AI Product Engineer

    Smallest test

    Subset the H1 font and re-run PageSpeed.

    Why it works

    Subset each font to the characters used, serve WOFF2 only, cut to the two or three weights the design actually uses, preload the one the H1 needs and use font-display swap. Then remove the 725 KB of unused JavaScript flagged by PageSpeed and the 0.85 s of render-blocking requests. Re-test and watch the field data over 28 days.

    Candidates arrive from social and job pages on phones; a lighter page shows the headline and CTA sooner, and passing Core Web Vitals helps every one of the thousands of job and blog pages that share the same fonts.

    Risks and how to handle them

    • Design looks different with fewer weights

      Check with the designer before cutting each weight.

    Evidence

    • Google PageSpeedMobile performance 64/100 (desktop 78); real visitors fail Core Web Vitals on LCP (p75 2.8 s) and INP (p75 204 ms); the homepage weighs 5.4 MB in 109 requests, of which fonts are 2.9 MB and JavaScript 1.95 MB; 725 KB of unused JavaScript and about 0.85 s of render-blocking requests; 16 third-party services, the heaviest Facebook (280 KB), Google Tag Manager (192 KB) and TikTok (158 KB), plus Clarity, Bing Ads and Google Ads tags.Source
    • Your websiteHomepage (fetched twice, November 9, 2026): in the page as served, the proof band reads "0+" Builders Represented, "< 0d" Avg Intro To Offer and "0%" Founder Reply Rate, and the "Without Standout" vs "With Standout" block shows only the numbers 01-04 with no wording. H1 "Get introduced to your dream role."; "The top 5% get represented"; a four-step flow (connect LinkedIn, chat, hand-picked roles, booking); one candidate testimonial; an "Earn $3,000" referral banner.Source

This quarter 11

The core plays for the next three months.

  • 09

    Standout's job board lists 37,419 roles, and each job page already says "Let me introduce you to the founders." But the city pages, such as London with 1,405 roles, offer only "Join" and "Earn $3,000", with no prompt to get matched, and a click from a job page lands in a general signup that forgets which role brought the person in.

    High impactMedium effort First result in 1 month Founding AI Product Engineer

    First action

    Add a get-matched block to the London and San Francisco pages and pass the city into signup.

    How to measure it

    Board-to-signup rate

    Now
    –
    Target
    2x
    By
    90 days

    Steps

    1. 1

      Measure today

      Signups by entry page type.

      Founding AI Product Engineer 1 day

    2. 2

      Add the block

      City and category pages.

      Founding AI Product Engineer 2 days

    3. 3

      Pass context

      Role, city and stack into the agent's first message.

      Founding AI Product Engineer 1 week

    4. 4

      Write the openers

      First lines per page type.

      Content Creator 2 days

    5. 5

      Test

      Context-aware vs generic signup.

      Founding AI Product Engineer 3 weeks

    6. 6

      Roll out

      All boards, then blog.

      Founding AI Product Engineer 1 week

    First result
    1 month
    Cost
    Engineering time
    Owner
    Founding AI Product Engineer

    Smallest test

    London page only, for two weeks.

    Why it works

    Carry the context: when someone clicks from a job, city or category page, open the agent chat already holding that role, city and stack ("You were looking at Senior Backend roles in London; here are three founders hiring like this"). Add a "Get matched to roles like these" block to every city and category page. Track signups by entry page.

    Someone browsing a specific role has told you what they want; starting the conversation there shortens onboarding and turns job-board traffic into represented talent.

    Risks and how to handle them

    • Visitors only wanted to apply directly

      Keep the company's own apply link visible next to the intro offer.

    Evidence

    • Your websiteJob board: "37,419 opportunities". Job pages carry "Talk to Standout", "Let me introduce you to the founders.", "Skip the process" and a $3,000 referral box. The London page ("Startup Jobs in London | 1,405 Open Roles") has only "Join" and "Earn $3,000" calls to action and no prompt to get matched.Source
    • Your websiteHomepage (fetched twice, November 9, 2026): in the page as served, the proof band reads "0+" Builders Represented, "< 0d" Avg Intro To Offer and "0%" Founder Reply Rate, and the "Without Standout" vs "With Standout" block shows only the numbers 01-04 with no wording. H1 "Get introduced to your dream role."; "The top 5% get represented"; a four-step flow (connect LinkedIn, chat, hand-picked roles, booking); one candidate testimonial; an "Earn $3,000" referral banner.Source
    • HiringFounding AI Product Engineer (San Francisco): owns "either the company experience (how hiring managers brief us, see talent, decide)" or "the talent experience (how the people we represent get found, profiled, and intro'd)", including UX, UI and the conversational agent.Source
  • 10

    Standout has published 167 posts since May, many of them on a stack ("Go Engineers in 2026") or a city ("Software Engineer Jobs in Denver"). Each reader has named a stack or city, and the job board already holds the matching roles, but the posts do not connect the two.

    Medium impactLow effort First result in 1 month Content Creator

    First action

    Add the block to the ten posts with the most traffic.

    How to measure it

    Blog signups

    Now
    –
    Target
    +50%
    By
    90 days

    Steps

    1. 1

      Tag posts

      Stack, city, company or employer topic.

      Content Creator 2 days

    2. 2

      Build the block

      Live count, three roles, intro button.

      Founding AI Product Engineer 3 days

    3. 3

      Ship to top ten

      Highest-traffic posts first.

      Content Creator 1 day

    4. 4

      Company-side CTA

      Brief button on hiring-topic posts.

      Content Creator 1 day

    5. 5

      Measure

      Signups per post before and after.

      Content Creator 3 weeks

    6. 6

      Roll out

      All tagged posts.

      Founding AI Product Engineer 1 week

    First result
    1 month
    Cost
    Staff time only
    Owner
    Content Creator

    Smallest test

    Add the block to "Go Engineers in 2026" for two weeks.

    Why it works

    Add a live block to every stack and city post: "N open roles for Go engineers at startups right now", three example roles from the board, and "Get introduced to the founders" that opens the agent with the stack or city filled in. Use the same block on the newest company-side posts (pricing models, recruiters vs an agent) with a brief CTA instead.

    A live count turns an evergreen article into a reason to act today, and it reuses data Standout already has.

    Risks and how to handle them

    • Low counts on niche stacks look thin

      Show the count only above a threshold.

    Builds on

    Evidence

    • Your websiteBlog: newest posts include "Pay-on-Hire vs Retainer vs RPO: Startup Recruiting Pricing Models Compared (2026)" and "Recruiters vs an AI Talent Agent for Engineers" (November 6, 2026); stack posts such as "Go Engineers in 2026" and city posts such as "Software Engineer Jobs in Denver"; footer social links are X and LinkedIn only.Source
    • Your websiteJob board: "37,419 opportunities". Job pages carry "Talk to Standout", "Let me introduce you to the founders.", "Skip the process" and a $3,000 referral box. The London page ("Startup Jobs in London | 1,405 Open Roles") has only "Join" and "Earn $3,000" calls to action and no prompt to get matched.Source
    • Your websiteSitemap (checked November 9, 2026): 13 top-level pages including /yc, which returned 404 Not Found on two checks; 167 blog posts from May 1 to November 6, 2026, including about 25 "<company> engineering jobs" guides, with overlapping pairs such as /blog/anthropic-engineering-jobs (May 2) and /blog/anthropic-engineering-jobs-apply (August 18); /vs holds three comparisons (Wellfound, Mercor, Hired) while five more sit on the blog (Triplebyte, Otta, AngelList Talent, Vettery and a second Hired page); 6 job category pages; 9 location pages (8 US cities and London); 40 company careers pages.Source
  • 11

    Standout's YC profile says candidates run a CLI command (`npx standout`) that assesses how they build and debug instead of uploading a resume. That is the most distinctive thing about the product for engineers, yet the homepage's four-step flow is connect LinkedIn, chat, see roles, book, and none of the docs pages covers the CLI. Engineers who distrust LinkedIn-based matching never see the option that suits them best.

    High impactMedium effort First result in 1 month Founding AI Product Engineer

    First action

    Write the docs page that says exactly what the CLI checks and shares.

    How to measure it

    CLI-sourced intros accepted

    Now
    –
    Target
    20% of intros
    By
    1 quarter

    Steps

    1. 1

      Document it

      What runs, what is shared, time taken.

      Founding AI Product Engineer 2 days

    2. 2

      Add the hero CTA

      Copyable command beside "Talk to Standout".

      Founding AI Product Engineer 1 day

    3. 3

      Add to engineering pages

      Stack posts and engineering job pages.

      Content Creator 2 days

    4. 4

      Track

      Runs, completions, signups, intros by source.

      Founding AI Product Engineer 1 week

    5. 5

      Show founders the signal

      Add the CLI result to the intro note, with consent.

      Founding AI Product Engineer 2 weeks

    6. 6

      Seed communities

      Scouts share the command in developer communities.

      Founding Sales / Talent Scout ongoing

    7. 7

      Review

      Founder reply rate for CLI vs LinkedIn intros.

      Founder & CTO monthly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Founding AI Product Engineer

    Smallest test

    Add the command to the ten most-read engineering posts.

    Why it works

    Add a second CTA under the hero for engineers: a copyable `npx standout` line with one sentence on what it checks and what is shared. Give it a docs page (what it runs, what data leaves the machine, how long it takes), and add the command to the stack posts and engineering job pages. Track CLI starts and CLI-to-intro rate separately from LinkedIn signups.

    A command in the terminal is native to engineers and is a better signal for founders than a profile; it also travels well in developer communities where a signup link does not.

    Risks and how to handle them

    • Engineers worry about running unknown code

      Publish what it does and link the package source.

    Evidence

    • Y Combinator profile"Agentic hiring marketplace", Spring 2026, team of 7, San Francisco. Candidates run a CLI command (`npx standout`) that assesses how they build and debug instead of uploading a resume; "10k talent / 60 companies / 100 intros" in one month.Source
    • Your websiteHomepage (fetched twice, November 9, 2026): in the page as served, the proof band reads "0+" Builders Represented, "< 0d" Avg Intro To Offer and "0%" Founder Reply Rate, and the "Without Standout" vs "With Standout" block shows only the numbers 01-04 with no wording. H1 "Get introduced to your dream role."; "The top 5% get represented"; a four-step flow (connect LinkedIn, chat, hand-picked roles, booking); one candidate testimonial; an "Earn $3,000" referral banner.Source
    • Your websiteDocs (9 pages): the integration guides cover Ashby (with setup steps) and Slack (listed, no setup detail); the companies getting-started guide covers sharing roles, reviewing matches and starting conversations, with no pricing and no time to first intro; other setups are told to email.Source
  • 12

    The scout role says "The product works" and the bottleneck is getting candidates in front of clients, paying $100-$200 per accepted intro. Meanwhile Standout's board already lists 37,419 roles and 40 company careers pages, so it knows which startups are hiring for what today. Each listing is a warm reason to contact a founder.

    High impactMedium effort First result in 3 weeks Founding Sales / Talent Scout

    First action

    Pick ten board roles open over 30 days with three strong matches each.

    How to measure it

    Outreach-to-brief rate

    Now
    –
    Target
    15%
    By
    1 quarter

    Steps

    1. 1

      Find the roles

      Open over 30 days, pre-seed to Series B.

      Founding Sales / Talent Scout weekly

    2. 2

      Build shortlists

      Three anonymised matches per role, with consent rules respected.

      Founding AI Product Engineer 2 weeks

    3. 3

      Write the email

      Role, three profiles, terms, one CTA.

      Founding Sales / Talent Scout 1 day

    4. 4

      Send

      Ten a day per scout.

      Founding Sales / Talent Scout daily

    5. 5

      Offer the careers page

      Claim and manage their /careers page.

      Founding Sales / Talent Scout ongoing

    6. 6

      Log on the leaderboard

      Sends, replies, briefs, intros accepted.

      Founder & CEO weekly

    First result
    3 weeks
    Cost
    Scout time
    Owner
    Founding Sales / Talent Scout

    Smallest test

    Ten shortlists to ten founders in one week.

    Why it works

    Each week, pick startups on the board with roles open more than 30 days that match strong represented talent. Send the founder an anonymised shortlist for that exact role (three profiles: background, stack, pay floor, why now) and one line: "Want intros? You pay only if you hire." Offer to claim and manage their careers page on Standout. Log every send on the scout leaderboard.

    A founder who has struggled to fill a role for a month responds to real candidates more than to a pitch, and the shortlist shows the product instead of describing it.

    Risks and how to handle them

    • Candidates feel exposed

      Only show anonymised details candidates have approved for sharing.

    • Seen as spam

      One email per role, only with strong matches.

    Builds on

    Evidence

    • HiringFounding Sales / Talent Scout (San Francisco, on-site): "The product works"; the bottleneck is finding candidates and getting them in front of clients. Pay of $100–$200 per intro accepted by a client, $500–$1,000 per offer and $4,000–$6,000 per hire; sourcing across LinkedIn, GitHub, Discord, university clubs and other communities; a live leaderboard of outreach sent, signups activated, intros accepted and hires made.Source
    • Your websiteJob board: "37,419 opportunities". Job pages carry "Talk to Standout", "Let me introduce you to the founders.", "Skip the process" and a $3,000 referral box. The London page ("Startup Jobs in London | 1,405 Open Roles") has only "Join" and "Earn $3,000" calls to action and no prompt to get matched.Source
    • Your websiteSitemap (checked November 9, 2026): 13 top-level pages including /yc, which returned 404 Not Found on two checks; 167 blog posts from May 1 to November 6, 2026, including about 25 "<company> engineering jobs" guides, with overlapping pairs such as /blog/anthropic-engineering-jobs (May 2) and /blog/anthropic-engineering-jobs-apply (August 18); /vs holds three comparisons (Wellfound, Mercor, Hired) while five more sit on the blog (Triplebyte, Otta, AngelList Talent, Vettery and a second Hired page); 6 job category pages; 9 location pages (8 US cities and London); 40 company careers pages.Source
  • 13

    Scouts source across LinkedIn, GitHub, Discord, university clubs and other communities, and the leaderboard tracks outreach sent, signups activated, intros accepted and hires made, per person. It does not say which community produces hires, so volume wins over quality and the team cannot double down on the channels that work.

    Medium impactLow effort First result in 1 month Founding Sales / Talent Scout

    First action

    Create tracked links for the five communities scouts use most.

    How to measure it

    Hires per 100 outreach

    Now
    –
    Target
    +30% on the top sources
    By
    1 quarter

    Steps

    1. 1

      List communities

      Every source scouts use today.

      Founding Sales / Talent Scout 1 day

    2. 2

      Make links

      One tracked link per scout per community.

      Founding AI Product Engineer 1 day

    3. 3

      Make landing pages

      Short page per community type.

      Content Creator 1 week

    4. 4

      Add the source column

      On the leaderboard.

      Founding AI Product Engineer 2 days

    5. 5

      Review weekly

      Hires per 100 outreach by source.

      Founder & CEO weekly

    6. 6

      Reallocate

      More hours to the top three sources.

      Founder & CEO monthly

    First result
    1 month
    Cost
    $0
    Owner
    Founding Sales / Talent Scout

    Smallest test

    Track two communities for a month and compare.

    Why it works

    Give each scout a tracked link per community (a Discord server, a university club, a GitHub topic) and a short landing page that speaks to it ("For members of X: get introduced to founders hiring Rust engineers"). Add a source column to the leaderboard and a weekly view of hires per 100 outreach by community. Move scout hours toward the top three sources each month.

    The scout pay plan rewards accepted intros and hires; tracking by source points that effort at communities whose members founders actually reply to.

    Risks and how to handle them

    • Small numbers mislead

      Judge on intros accepted until hire counts are large enough.

    Evidence

    • HiringFounding Sales / Talent Scout (San Francisco, on-site): "The product works"; the bottleneck is finding candidates and getting them in front of clients. Pay of $100–$200 per intro accepted by a client, $500–$1,000 per offer and $4,000–$6,000 per hire; sourcing across LinkedIn, GitHub, Discord, university clubs and other communities; a live leaderboard of outreach sent, signups activated, intros accepted and hires made.Source
    • HiringCareers page: founded 2025, Y Combinator Spring 2026, "Seven people in San Francisco", "Hiring now: Sales and content"; mission "Help us give every great builder an agent of their own."Source
  • 14

    The $3,000 referral bonus appears on the homepage, every job page and /refer, but /refer does not say who qualifies, when it pays or how. A $3,000 promise with no terms invites doubt. The program also only runs one way: candidates referring friends. Founders who hired through Standout are the best source of the next hiring founder, and nothing asks them.

    Medium impactLow effort First result in 1 month Founder & CEO

    First action

    Write five lines of referral terms and add them to /refer.

    How to measure it

    Referred company briefs

    Now
    –
    Target
    10 a month
    By
    1 quarter

    Steps

    1. 1

      Write terms

      Eligibility, hire definition, payout timing and method.

      Founder & CEO 1 day

    2. 2

      Publish

      On /refer with an FAQ.

      Content Creator half a day

    3. 3

      Add status

      Referrers see signups and hires.

      Founding AI Product Engineer 1 week

    4. 4

      Design the founder reward

      Fee credit or cash on a referred company's hire.

      Founder & CEO 2 days

    5. 5

      Ask at the hire

      Founders get their link when an offer is signed.

      Founding Sales / Talent Scout ongoing

    6. 6

      Track

      Referred briefs and hires.

      Founder & CEO monthly

    First result
    1 month
    Cost
    Reward paid only on hires
    Owner
    Founder & CEO

    Smallest test

    Offer the founder reward to the next five hiring founders.

    Why it works

    Add plain terms to /refer: who can refer, when the hire counts (for example after the guarantee window), when and how payment is made, and a status view for referrers. Then add a company-side referral: a founder who refers another hiring startup gets a credit against their next success fee, or a cash reward, when that startup hires.

    Clear terms raise trust in the offer; founder referrals bring pre-qualified companies, which is the side of the marketplace the scout role says is harder to bring in front of candidates.

    Risks and how to handle them

    • Referral gaming

      Pay only after the guarantee window.

    Builds on

    Evidence

    • Your websiteReferral page: "Once they get hired through Standout, you receive a $3,000 referral bonus"; sign in with LinkedIn to get a link; no eligibility, payout timing or payment method stated; the program is framed around candidates referring friends who are job hunting.Source
    • HiringFounding Sales / Talent Scout (San Francisco, on-site): "The product works"; the bottleneck is finding candidates and getting them in front of clients. Pay of $100–$200 per intro accepted by a client, $500–$1,000 per offer and $4,000–$6,000 per hire; sourcing across LinkedIn, GitHub, Discord, university clubs and other communities; a live leaderboard of outreach sent, signups activated, intros accepted and hires made.Source
    • Your website"Standout for AI assistants" page (/ai): companies "pay a success fee only when they hire", with no retainer or exclusivity and fees refundable within a guarantee window; most briefs yield a first shortlist within 24 hours; integrations listed: Greenhouse, Lever, Ashby, Slack and Notion; network deepest in San Francisco, New York and Europe.Source
  • 15

    Standout earns only on hires, and its customers are pre-seed to Series B startups that hire again and again. Each hire is the moment a founder trusts Standout most and the new hire knows other strong people, but nothing on the site or in the scout metrics follows up after the hire.

    High impactLow effort First result in 1 month Founding Sales / Talent Scout

    First action

    List every company with a hire and ask each founder for their next open role.

    How to measure it

    Repeat brief rate

    Now
    –
    Target
    40%
    By
    2 quarters

    Steps

    1. 1

      List hires

      Companies, roles, dates.

      Founding Sales / Talent Scout 1 day

    2. 2

      Ask for the next role

      At offer signed.

      Founding Sales / Talent Scout ongoing

    3. 3

      Automate check-ins

      30-day and 90-day messages from the agent.

      Founding AI Product Engineer 1 week

    4. 4

      Ask hires to vouch

      Two names, with the referral bonus.

      Founding Sales / Talent Scout ongoing

    5. 5

      Add to the leaderboard

      Repeat briefs and vouched referrals.

      Founder & CEO 1 day

    6. 6

      Review

      Repeat rate and guarantee claims.

      Founder & CEO monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Founding Sales / Talent Scout

    Smallest test

    Ask the last ten hiring founders for their next role this week.

    Why it works

    Build a post-hire sequence: on offer signed, the agent asks the founder for the next role on the plan and offers to open the brief; at 30 days it checks in with both sides (fit, guarantee window); at 90 days it asks the new hire for two people they would vouch for (with the referral bonus). Keep the hire represented quietly for the future, with their consent.

    Repeat briefs from happy founders cost nothing to acquire, and early check-ins catch problems inside the guarantee window before they become refunds.

    Risks and how to handle them

    • Feels pushy right after a hire

      Lead with a check-in, ask about the next role second.

    Evidence

    • HiringContent Creator (San Francisco hybrid, plus a remote listing): works with the founders to make Standout "the defining voice for agentic hiring and startup talent", turning opinions, hiring data, customer stories and product launches into content; Standout focuses on pre-seed to Series B startups, talent pays nothing and companies pay only on a successful hire.Source
    • HiringFounding Sales / Talent Scout (San Francisco, on-site): "The product works"; the bottleneck is finding candidates and getting them in front of clients. Pay of $100–$200 per intro accepted by a client, $500–$1,000 per offer and $4,000–$6,000 per hire; sourcing across LinkedIn, GitHub, Discord, university clubs and other communities; a live leaderboard of outreach sent, signups activated, intros accepted and hires made.Source
    • Your website"Standout for AI assistants" page (/ai): companies "pay a success fee only when they hire", with no retainer or exclusivity and fees refundable within a guarantee window; most briefs yield a first shortlist within 24 hours; integrations listed: Greenhouse, Lever, Ashby, Slack and Notion; network deepest in San Francisco, New York and Europe.Source
  • 16

    The content hire is meant to make Standout "the defining voice for agentic hiring and startup talent" by turning hiring data into content. Standout has data no job board has: which intros founders answer, how fast offers follow and what founding roles really pay (the homepage demo shows a $240-280k plus 1.0% equity offer against a $180k market figure). Today the blog's 167 posts mostly lean on public listings, and the homepage's own reply-rate stat is served as 0%.

    High impactMedium effort First result in 1 month Content Creator

    First action

    Pull last month's intros and compute reply rate and days to offer.

    How to measure it

    Referring domains to index posts

    Now
    –
    Target
    30
    By
    2 quarters

    Steps

    1. 1

      Define the numbers

      Reply rate, days to offer, pay and equity by role and stage.

      Founder & CTO 2 days

    2. 2

      Set privacy rules

      Minimum sample per cell; no names.

      Founder & CTO 1 day

    3. 3

      Build the query

      Monthly export from intro records.

      Founding AI Product Engineer 3 days

    4. 4

      Write issue one

      Post, chart and three takeaways.

      Content Creator 1 week

    5. 5

      Cut for social

      Thread, carousel and short video.

      Content Creator 2 days

    6. 6

      Distribute

      Talent, founders and newsletters that cover startups.

      Content Creator monthly

    7. 7

      Feed the homepage

      Update the proof band from the index.

      Founding AI Product Engineer monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Content Creator

    Smallest test

    Post one chart of founder reply rate by role.

    Why it works

    Publish a short monthly index: founder reply rate to intros, median days from intro to offer, and pay and equity bands for founding engineer, design and GTM roles by stage, all from Standout's own intros (aggregated, no names). Turn each issue into a post, an X thread, a LinkedIn carousel and a short video, and send it to represented talent and hiring founders.

    Original data earns links, press and assistant citations, and the reply rate doubles as proof of the product. A monthly rhythm gives the content creator a reliable flagship.

    Risks and how to handle them

    • Small samples

      Publish quarterly cuts where monthly numbers are thin.

    Builds on

    Evidence

    • HiringContent Creator (San Francisco hybrid, plus a remote listing): works with the founders to make Standout "the defining voice for agentic hiring and startup talent", turning opinions, hiring data, customer stories and product launches into content; Standout focuses on pre-seed to Series B startups, talent pays nothing and companies pay only on a successful hire.Source
    • Your websiteHomepage (fetched twice, November 9, 2026): in the page as served, the proof band reads "0+" Builders Represented, "< 0d" Avg Intro To Offer and "0%" Founder Reply Rate, and the "Without Standout" vs "With Standout" block shows only the numbers 01-04 with no wording. H1 "Get introduced to your dream role."; "The top 5% get represented"; a four-step flow (connect LinkedIn, chat, hand-picked roles, booking); one candidate testimonial; an "Earn $3,000" referral banner.Source
    • Your websiteBlog: newest posts include "Pay-on-Hire vs Retainer vs RPO: Startup Recruiting Pricing Models Compared (2026)" and "Recruiters vs an AI Talent Agent for Engineers" (November 6, 2026); stack posts such as "Go Engineers in 2026" and city posts such as "Software Engineer Jobs in Denver"; footer social links are X and LinkedIn only.Source
  • 17

    Standout says its network is deepest in San Francisco, New York and Europe, and the homepage promises scouting across "public and off-market roles in the EU and US". But of its 9 location pages, 8 are US cities and only London covers Europe. The scout role even considers remote hires in France. European builders searching for startup jobs in their own city find no Standout page.

    Medium impactMedium effort First result in 2 months Content Creator

    First action

    Rank European cities by open roles on the board.

    How to measure it

    European city signups

    Now
    –
    Target
    200 a month
    By
    2 quarters

    Steps

    1. 1

      Rank cities

      Open roles by European city.

      Founding AI Product Engineer 1 day

    2. 2

      Generate pages

      Top three cities from the London template.

      Founding AI Product Engineer 2 days

    3. 3

      Write intros

      Local pay, remote share, visa notes.

      Content Creator 1 week

    4. 4

      Write city guides

      One post per city.

      Content Creator 2 weeks

    5. 5

      Add get-matched

      Same block as idea 9.

      Founding AI Product Engineer 1 day

    6. 6

      Measure

      Impressions and signups per city.

      Content Creator monthly

    First result
    2 months
    Cost
    Staff time only
    Owner
    Content Creator

    Smallest test

    One Paris page for six weeks.

    Why it works

    Add location pages for the European cities where the board already has the most roles (for example Paris, Berlin, Amsterdam), using the London template, with a get-matched block, local pay context and the share of roles open to remote or relocation. Add a city post for each in the style of the US city guides.

    City searches are high intent and less contested in Europe than in San Francisco, and the pages give European candidates and founders a local entry point to a network Standout says is already there.

    Risks and how to handle them

    • Too few European founders to match the demand

      Start with the cities where intros already happen.

    Builds on

    Evidence

    • Your website"Standout for AI assistants" page (/ai): companies "pay a success fee only when they hire", with no retainer or exclusivity and fees refundable within a guarantee window; most briefs yield a first shortlist within 24 hours; integrations listed: Greenhouse, Lever, Ashby, Slack and Notion; network deepest in San Francisco, New York and Europe.Source
    • Your websiteSitemap (checked November 9, 2026): 13 top-level pages including /yc, which returned 404 Not Found on two checks; 167 blog posts from May 1 to November 6, 2026, including about 25 "<company> engineering jobs" guides, with overlapping pairs such as /blog/anthropic-engineering-jobs (May 2) and /blog/anthropic-engineering-jobs-apply (August 18); /vs holds three comparisons (Wellfound, Mercor, Hired) while five more sit on the blog (Triplebyte, Otta, AngelList Talent, Vettery and a second Hired page); 6 job category pages; 9 location pages (8 US cities and London); 40 company careers pages.Source
    • Your websiteJob board: "37,419 opportunities". Job pages carry "Talk to Standout", "Let me introduce you to the founders.", "Skip the process" and a $3,000 referral box. The London page ("Startup Jobs in London | 1,405 Open Roles") has only "Join" and "Earn $3,000" calls to action and no prompt to get matched.Source
    • HiringFounding Sales / Talent Scout (San Francisco, on-site): "The product works"; the bottleneck is finding candidates and getting them in front of clients. Pay of $100–$200 per intro accepted by a client, $500–$1,000 per offer and $4,000–$6,000 per hire; sourcing across LinkedIn, GitHub, Discord, university clubs and other communities; a live leaderboard of outreach sent, signups activated, intros accepted and hires made.Source
  • 18

    The homepage loads 16 third-party services, including Facebook (280 KB), Google Tag Manager (192 KB), TikTok (158 KB), Clarity, Bing Ads and Google Ads tags, on a page whose real visitors already fail Core Web Vitals on responsiveness (INP 204 ms). For a seven-person team, that many pixels usually means some are left over from past tests and none is tied to the event that matters: an activated signup or an accepted intro.

    Medium impactLow effort First result in 1 month Founding AI Product Engineer

    First action

    Write the tag list with an owner and a live campaign for each.

    How to measure it

    Field INP (p75)

    Now
    –
    Target
    under 200 ms
    By
    60 days

    Steps

    1. 1

      List tags

      Every third-party service with owner and purpose.

      Founding AI Product Engineer half a day

    2. 2

      Remove unused

      No live campaign, no tag.

      Founder & CEO 1 day

    3. 3

      Consolidate

      One tag manager; load after interaction.

      Founding AI Product Engineer 2 days

    4. 4

      Define events

      Activated signup and brief started.

      Founding AI Product Engineer 1 day

    5. 5

      Send events

      One conversion per platform.

      Founding AI Product Engineer 2 days

    6. 6

      Review spend

      Cost per activated signup by channel.

      Founder & CEO monthly

    First result
    1 month
    Cost
    $0
    Owner
    Founding AI Product Engineer

    Smallest test

    Delay the two heaviest ad tags until after interaction and compare INP.

    Why it works

    List every tag, who owns it and which campaign uses it. Remove any with no active campaign, load the rest through one tag manager after the page is interactive, and send each platform one meaningful event (activated signup, brief started) instead of page views only, so spend can be judged by cost per activated signup.

    Fewer, later-loading tags help speed on every page, and one clear conversion event per platform shows which paid channel actually brings represented talent and briefs.

    Risks and how to handle them

    • Losing attribution for running ads

      Check with each campaign owner before removing a tag.

    Builds on

    Evidence

    • Google PageSpeedMobile performance 64/100 (desktop 78); real visitors fail Core Web Vitals on LCP (p75 2.8 s) and INP (p75 204 ms); the homepage weighs 5.4 MB in 109 requests, of which fonts are 2.9 MB and JavaScript 1.95 MB; 725 KB of unused JavaScript and about 0.85 s of render-blocking requests; 16 third-party services, the heaviest Facebook (280 KB), Google Tag Manager (192 KB) and TikTok (158 KB), plus Clarity, Bing Ads and Google Ads tags.Source
    • HiringCareers page: founded 2025, Y Combinator Spring 2026, "Seven people in San Francisco", "Hiring now: Sales and content"; mission "Help us give every great builder an agent of their own."Source
  • 19

    Standout's agent decides who reaches a founder: its companies page shows 142 inbound applicants cut to 6, and "The top 5% get represented". Jack & Jill, selling the same pay-on-hire agent model, links a Bias Report and a third-party assurance of its matching from its homepage. Standout's privacy promise (anonymous until you accept an intro) is strong, but there is no page explaining how screening decisions are made or checked.

    Medium impactMedium effort First result in 1 quarter Founder & CTO

    First action

    Write down the screening inputs and the privacy steps as they work today.

    How to measure it

    Deals delayed by trust questions

    Now
    –
    Target
    halved
    By
    2 quarters

    Steps

    1. 1

      Document inputs

      What the agent uses and ignores.

      Founder & CTO 1 week

    2. 2

      Document privacy

      What is shared at each step and with whom.

      Founder & CTO 2 days

    3. 3

      Check outcomes

      Aggregate match rates by stage, role and seniority.

      Founding AI Product Engineer 2 weeks

    4. 4

      Legal review

      Outside counsel reviews the wording.

      Founder & CEO 2 weeks

    5. 5

      Publish

      Linked from /company, /ai and signup.

      Content Creator 1 day

    6. 6

      Add the in-product answer

      "Why wasn't I matched?"

      Founding AI Product Engineer 2 weeks

    7. 7

      Update

      Twice a year.

      Founder & CTO 6 months

    First result
    1 quarter
    Cost
    Staff time plus legal review
    Owner
    Founder & CTO

    Smallest test

    Publish the privacy half first: what is shared, when.

    Why it works

    Publish a short report: what the agent looks at and ignores, how the top 5% bar is set, how outcomes are checked across groups in aggregate, what candidates can see and correct, and what is shared with companies at each step. Add a "Why wasn't I matched?" answer in the product. Review it with outside counsel and consider an independent audit later.

    Founders using AI screening increasingly get asked how it works, and candidates trusting an agent with a confidential search want to know what it shares. A clear report removes a buying objection that a rival already answers.

    Risks and how to handle them

    • Disclosing too much about the model

      Explain inputs and checks, not weights.

    Evidence

    • Your websiteFor-companies page: "Find your people. Not the same overhunted shortlist."; warm intros, on-demand sourcing from LinkedIn and GitHub, pre-screening (a demo shows 142 inbound cut to 6 forwarded) and pipeline ops; onboarding starts from the company URL (about 10 minutes in the demo) with intros sent via Slack; 25 customer logos; no price, fee or guarantee stated and no quotes from hiring companies; CTAs "Get your first intros today" and "Try it with your domain".Source
    • Your websiteHomepage (fetched twice, November 9, 2026): in the page as served, the proof band reads "0+" Builders Represented, "< 0d" Avg Intro To Offer and "0%" Founder Reply Rate, and the "Without Standout" vs "With Standout" block shows only the numbers 01-04 with no wording. H1 "Get introduced to your dream role."; "The top 5% get represented"; a four-step flow (connect LinkedIn, chat, hand-picked roles, booking); one candidate testimonial; an "Earn $3,000" referral banner.Source
    • Competitor researchJack & Jill's homepage: an AI career agent for candidates and an AI hiring agent for companies; companies pay only when they hire; claims 433,929 professionals and 6,486 companies; links a Bias Report and a third-party assurance of its AI candidate matching.Source

Big bets 2

Larger plays that can change the trajectory.

  • 20

    The companies page already starts from the company URL ("Try it with your domain"): Standout reads the team, stack and stage and calibrates, and /ai says most briefs yield a first shortlist within 24 hours. The product engineer role owns exactly this: "how hiring managers brief us, see talent, decide". Today the founder sees the shortlist only after signing up; showing it first would turn the strongest moment of the product into the landing page.

    High impactHigh effort First result in 1 quarter Founding AI Product Engineer

    First action

    Prototype the preview for ten companies already on the job board.

    How to measure it

    Preview-to-brief rate

    Now
    –
    Target
    30%
    By
    2 quarters

    Steps

    1. 1

      Define the cards

      Which anonymised fields candidates allow to be shown.

      Founder & CTO 1 week

    2. 2

      Infer roles

      From the domain's careers page and board listings.

      Founding AI Product Engineer 3 weeks

    3. 3

      Match fast

      Counts and top three under a minute.

      Founding AI Product Engineer 1 month

    4. 4

      Design the preview

      Cards, counts and one-click brief.

      Founding AI Product Engineer 2 weeks

    5. 5

      Pilot

      Scouts send preview links to 50 founders.

      Founding Sales / Talent Scout 1 month

    6. 6

      Open on /company

      Replace the static demo.

      Founding AI Product Engineer 1 week

    7. 7

      Measure

      Preview to brief to hire.

      Founder & CEO monthly

    First result
    1 quarter
    Cost
    One engineer for a quarter
    Owner
    Founding AI Product Engineer

    Smallest test

    Hand-build ten previews and send them as links.

    Why it works

    When a founder enters a domain, return in under a minute a preview: the roles Standout infers they are hiring for (from their careers page or the board), and for each, how many represented builders match plus three anonymised cards (background, stack, pay floor, availability). One click turns a card into a brief and an intro request. Measure domain-entry to brief rate.

    Seeing real people who fit removes the risk of trying, and it is a demo no agency or job board can give without a call. It also scales the scout's best move (a tailored shortlist) to every visitor.

    Risks and how to handle them

    • Candidate privacy

      Show only fields candidates approved; no names or employers.

    • Thin matches for niche roles

      Offer on-demand sourcing when counts are low.

    Builds on

    Evidence

    • Your websiteFor-companies page: "Find your people. Not the same overhunted shortlist."; warm intros, on-demand sourcing from LinkedIn and GitHub, pre-screening (a demo shows 142 inbound cut to 6 forwarded) and pipeline ops; onboarding starts from the company URL (about 10 minutes in the demo) with intros sent via Slack; 25 customer logos; no price, fee or guarantee stated and no quotes from hiring companies; CTAs "Get your first intros today" and "Try it with your domain".Source
    • Your website"Standout for AI assistants" page (/ai): companies "pay a success fee only when they hire", with no retainer or exclusivity and fees refundable within a guarantee window; most briefs yield a first shortlist within 24 hours; integrations listed: Greenhouse, Lever, Ashby, Slack and Notion; network deepest in San Francisco, New York and Europe.Source
    • HiringFounding AI Product Engineer (San Francisco): owns "either the company experience (how hiring managers brief us, see talent, decide)" or "the talent experience (how the people we represent get found, profiled, and intro'd)", including UX, UI and the conversational agent.Source
    • HiringFounding Sales / Talent Scout (San Francisco, on-site): "The product works"; the bottleneck is finding candidates and getting them in front of clients. Pay of $100–$200 per intro accepted by a client, $500–$1,000 per offer and $4,000–$6,000 per hire; sourcing across LinkedIn, GitHub, Discord, university clubs and other communities; a live leaderboard of outreach sent, signups activated, intros accepted and hires made.Source
  • 21

    Standout's launch pitch is that candidates run `npx standout`, which assesses how they build and debug instead of uploading a resume, and /vision names the core problem as asymmetry: founders see resumes and LinkedIn profiles. If the assessment result became a consented, shareable profile that founders trust, it would be a reason for engineers to join even when they are not looking, and a signal competitors relying on resumes or networks cannot copy quickly.

    High impactHigh effort First result in 1 quarter Founder & CTO

    First action

    Compare founder reply rates for intros with and without a CLI result today.

    How to measure it

    Reply rate uplift with profile

    Now
    –
    Target
    +20 points
    By
    2 quarters

    Steps

    1. 1

      Measure the signal

      Reply and offer rates with vs without CLI results.

      Founder & CTO 2 weeks

    2. 2

      Design the profile

      What it shows and what the candidate controls.

      Founding AI Product Engineer 3 weeks

    3. 3

      Build consent

      Share per intro or by link; revoke any time.

      Founding AI Product Engineer 3 weeks

    4. 4

      Add to intros

      Profile summary in every intro note.

      Founding AI Product Engineer 1 week

    5. 5

      Founder feedback

      Ask ten hiring founders what they trust.

      Founding Sales / Talent Scout 2 weeks

    6. 6

      Publish results

      How profiles relate to replies and offers.

      Content Creator 1 quarter

    First result
    1 quarter
    Cost
    Most of one engineer for two quarters
    Owner
    Founder & CTO

    Smallest test

    Add a CLI summary to the next 50 intros and compare reply rates.

    Why it works

    Turn the CLI result into a private builder profile the candidate controls: what they built and debugged, strengths, the kinds of teams they fit. The candidate chooses when to share it, either inside a Standout intro or as a link. Show founders the profile in every intro note, and publish how it correlates with founder replies and offers once there is enough data.

    A signal founders trust raises reply rates, which raises hires and revenue; a profile candidates own gives them a reason to keep coming back between searches.

    Risks and how to handle them

    • Assessment seen as a test candidates can fail

      Frame it as strengths and fit, never a score, and keep it private by default.

    Builds on

    Evidence

    • Y Combinator profile"Agentic hiring marketplace", Spring 2026, team of 7, San Francisco. Candidates run a CLI command (`npx standout`) that assesses how they build and debug instead of uploading a resume; "10k talent / 60 companies / 100 intros" in one month.Source
    • Your websiteVision page: "10,000+ builders represented" and "60+ startups matched", "from P26 pre-seed teams to Series B unicorns"; "We don't sell software, we deliver introductions"; recruiters charge "20–30%" of first-year salary; talent is free and companies pay only on a successful hire, with no retainer or exclusivity.Source
    • HiringFounding AI Product Engineer (San Francisco): owns "either the company experience (how hiring managers brief us, see talent, decide)" or "the talent experience (how the people we represent get found, profiled, and intro'd)", including UX, UI and the conversational agent.Source

Wildcards 2

Unexpected experiments, each with a cheap way to test it.

  • 22

    Standout already writes a page for AI assistants (/ai) and positions itself as an agent that represents people. Engineers increasingly ask a personal assistant to handle chores like a job search. Today that assistant can only read Standout's pages; it cannot ask Standout which roles fit its user or request an intro on their behalf.

    Medium impactMedium effort First result in 1 quarter Founding AI Product Engineer

    First action

    Write a one-page spec for a read-only, user-authorised matches endpoint.

    How to measure it

    Assistant-connected candidates

    Now
    –
    Target
    500
    By
    2 quarters

    Steps

    1. 1

      Spec it

      Read-only matches, user consent, rate limits.

      Founding AI Product Engineer 1 week

    2. 2

      Privacy review

      What an assistant can and cannot see.

      Founder & CTO 1 week

    3. 3

      Build read-only

      Matches and role summaries.

      Founding AI Product Engineer 3 weeks

    4. 4

      Document

      Docs page and a note on /ai.

      Content Creator 2 days

    5. 5

      Beta

      Invite 50 engineers who use assistants.

      Founding Sales / Talent Scout 1 month

    6. 6

      Add actions

      Accept or decline intros, with confirmation.

      Founding AI Product Engineer 1 month

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Founding AI Product Engineer

    Smallest test

    A read-only matches feed for 20 beta users.

    Why it works

    Offer a small, documented interface that a candidate authorises: their assistant can ask for current matches, see anonymised role summaries and accept or decline intros, while Standout keeps the representation, privacy and founder relationship. Start read-only (matches), then add accept or decline. List it in the docs and on /ai.

    If assistants become how people search, the marketplace that answers them directly gets the traffic; being first fits Standout's "agent for everyone" story.

    Risks and how to handle them

    • Abuse or scraping

      Per-user authorisation and strict limits; no public candidate data.

    Evidence

    • Your website"Standout for AI assistants" page (/ai): companies "pay a success fee only when they hire", with no retainer or exclusivity and fees refundable within a guarantee window; most briefs yield a first shortlist within 24 hours; integrations listed: Greenhouse, Lever, Ashby, Slack and Notion; network deepest in San Francisco, New York and Europe.Source
    • HiringCareers page: founded 2025, Y Combinator Spring 2026, "Seven people in San Francisco", "Hiring now: Sales and content"; mission "Help us give every great builder an agent of their own."Source
    • HiringFounding AI Product Engineer (San Francisco): owns "either the company experience (how hiring managers brief us, see talent, decide)" or "the talent experience (how the people we represent get found, profiled, and intro'd)", including UX, UI and the conversational agent.Source
  • 23

    Standout works with pre-seed to Series B startups, the stage where many companies wind down or cut staff, and its scouts are paid to find strong builders across communities. When a startup closes, a proven team that has shipped together is suddenly available, and the founders usually want to help them land well. Standout's privacy model fits: people can be represented quietly without broadcasting their search.

    Medium impactMedium effort First result in 2 months Founding Sales / Talent Scout

    First action

    Write a one-page team landing offer and share it with investors in the network.

    How to measure it

    Team-landing signups

    Now
    –
    Target
    100 builders
    By
    2 quarters

    Steps

    1. 1

      Write the offer

      What the team gets, what the founder does.

      Founder & CEO 2 days

    2. 2

      Build the team page

      One link the founder shares; opt-in per person.

      Founding AI Product Engineer 1 week

    3. 3

      Brief once

      One founder call for context on everyone.

      Founding Sales / Talent Scout per team

    4. 4

      Share with investors

      Ask funds to mention it to portfolio founders.

      Founder & CEO ongoing

    5. 5

      Intro fast

      First intros within a week.

      Founding Sales / Talent Scout per team

    6. 6

      Follow up

      Keep the founder updated; ask about their next company.

      Founding Sales / Talent Scout ongoing

    First result
    2 months
    Cost
    Scout time
    Owner
    Founding Sales / Talent Scout

    Smallest test

    Offer it to one founder winding down this quarter.

    Why it works

    Create a "team landing" offer: when a founder winds down or cuts staff, Standout represents everyone who opts in, fast-tracks onboarding (one call with the founder for context instead of one per person), and introduces strong people, or the whole team, to hiring startups. Founders get a simple page to share with their team. Scouts watch for these moments through their networks and investor contacts.

    It brings in batches of proven, vouched-for builders at once, gives founders a goodwill reason to recommend Standout, and some will hire through Standout again when they start their next company.

    Risks and how to handle them

    • Looks opportunistic

      Only by founder invitation; never cold-contact affected staff.

    Evidence

    • HiringContent Creator (San Francisco hybrid, plus a remote listing): works with the founders to make Standout "the defining voice for agentic hiring and startup talent", turning opinions, hiring data, customer stories and product launches into content; Standout focuses on pre-seed to Series B startups, talent pays nothing and companies pay only on a successful hire.Source
    • HiringFounding Sales / Talent Scout (San Francisco, on-site): "The product works"; the bottleneck is finding candidates and getting them in front of clients. Pay of $100–$200 per intro accepted by a client, $500–$1,000 per offer and $4,000–$6,000 per hire; sourcing across LinkedIn, GitHub, Discord, university clubs and other communities; a live leaderboard of outreach sent, signups activated, intros accepted and hires made.Source
    • Your websiteHomepage (fetched twice, November 9, 2026): in the page as served, the proof band reads "0+" Builders Represented, "< 0d" Avg Intro To Offer and "0%" Founder Reply Rate, and the "Without Standout" vs "With Standout" block shows only the numbers 01-04 with no wording. H1 "Get introduced to your dream role."; "The top 5% get represented"; a four-step flow (connect LinkedIn, chat, hand-picked roles, booking); one candidate testimonial; an "Earn $3,000" referral banner.Source

03

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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on November 10, 2026, and cites them throughout. Standout did not commission, review or endorse it, and Programmable is not affiliated with Standout. Company and product names are trademarks of their owners, used only to identify them. The ideas are suggestions and opinion, not professional, legal or financial advice, and not statements about how Standout runs its business.

Something wrong, or do you represent Standout? Email [email protected] and we will correct it or take it down.

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

  1. Days 1 to 308 ideas

    Fix the proof, the price and the basics: real numbers in the served page, a published success fee, /yc back, one comparisons hub, merged duplicate guides, integration docs, founder quotes and a lighter homepage.

  2. Days 31 to 6011 ideas

    Convert existing traffic and grow supply: intro paths on job, city and blog pages, the CLI door, company outreach from the job board, tracked scout channels, referral terms, repeat briefs, a monthly intro index, European city pages, tag ownership and a fairness report.

  3. Days 61 to 904 ideas

    Commit to the bets: a live shortlist preview from a company's domain, a portable builder profile, an interface for candidates' own assistants, and team-wide representation when startups wind down.

The research behind the plan

3 research areas, each summarised in a few lines. Open any of them for the full detail.

Customers

What customers say

Customers value being introduced directly to a founder instead of applying. The most cited problem: spam on both sides: AI-written applications and recruiter messages.

  • Staying anonymous until they accept an intro
  • Strong candidates buried in inbound; founders who cannot reach them
  • In their words: “get introduced”

Market

Competitive landscape

5 competitors compared: Jack & Jill, Paraform, Wellfound, Mercor and 1 more.

  • Gap to exploit: A published, simple price for pay-on-hire startup hiring
  • Jack & Jill: Broad market rather than a startup-founder focus
  • Paraform: Demo-led with no public company price; a recruiter layer between candidate and founder

Hiring signals

Standout is a seven-person team hiring for "Sales and content", and the posts say where growth must come from.

  • Founding Sales / Talent Scout: "The product works"; the bottleneck is supply and getting candidates to clients. Ideas 12, 13, 15.
  • Content Creator (San Francisco): The defining voice for agentic hiring, built from hiring data. Ideas 4, 16.
  • Content Creator (Remote): Content capacity beyond San Francisco. Ideas 10, 17.

From the team that wrote this playbook

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