Selling shovels to the gold rush you're part of. ShipFast crossed $1M+ cumulative selling a boilerplate at $169β299; ScrapingBee hit $5M ARR then an 8-figure exit; Browserbase went 0 β $3M in 16 months. Dev tools market themselves for free: build in public, post receipts, let GitHub and X do the rest.
DataFaucet β niche datasets on subscription
Scrape once, keep fresh forever, sell to everyone who needs it monthly.
PainSales teams, investors, and builders constantly need niche structured data (every US med spa with owner emails; every Shopify store selling supplements; every new liquor license). One-off scrapes go stale in weeks.
ProductMaintained, deduped, verified datasets refreshed weekly, delivered as CSV/API/CRM-sync. Start with 3 datasets in niches you can sell to directly; add by request queue β subscribers literally tell you what to build next.
Money$99β499/mo per dataset subscription. Ten subscribers across 3 datasets = $5K+ MRR on cron jobs.
ProofScrapingBee ($5M ARR, 8-figure exit) and Browserless (~$4M ARR) prove scraping infra pays; selling the OUTPUT (data, not tooling) captures more value per customer with less support.
β Build: Scraper fleet + verification (email/phone) + delivery plumbing + Stripe.π― First 10 ($0): Post free 100-row samples in the niche's own community ("here are 100 new med spas opened this quarter") β the sample sells the faucet.
WrapperForge β the AI-app boilerplate
You've now built the clip factory and the Endel clone. Sell the skeleton to everyone behind you.
PainEvery AI wrapper needs the same 80%: auth, Stripe credits/metering, watermark-on-free-tier, generation queues, usage dashboards, model fallbacks. Builders re-solve it monthly, badly.
ProductA production boilerplate encoding the actual conversion mechanics from this vault's research: credit systems, watermark gating (the #1 freeβpaid lever), $29/$49/$99 pricing scaffolds, A/B paywall hooks, per-model cost routing. Plus recipe modules: "clipper app," "image studio," "voice agent" starters.
Money$249 one-time + $499 with recipes (ShipFast's exact model). 100 sales = $25β50K, then compounding drip forever.
ProofShipFast crossed $1M+ cumulative revenue solo at $169β299. WrapFast (iOS flavor) peaked at $15K/mo. Meta-products for builders are the most build-in-public-marketable products alive.
β Build: Extract from your own two shipped products β you're 60% done by accident.π― First 10 ($0): Your own build-in-public X thread of shipping vault ideas WITH the boilerplate β every idea you ship is an ad for the skeleton it runs on.
APIWatchdog
Your app depends on 12 third-party APIs. One of them will break something this quarter.
PainProviders ship breaking changes, deprecations, and silent response-shape drift constantly (this vault's research alone logged: Sora API sunsetting, DALL-E removed from API, HeyGen credit restructuring). Teams find out from production errors.
ProductMonitors your dependencies' changelogs, status pages, docs diffs, and OpenAPI specs + runs canary calls against real endpoints β alerts with "what changed, whether it affects YOUR usage, suggested patch" β in Slack before your users notice.
Money$29β99/mo by API count. Cheap insurance against four-figure incident hours; dev teams expense it reflexively.
ProofStatuspage aggregators exist but nobody diffs docs/specs against YOUR call patterns. Every "X deprecated their API" HN thread is full of burned teams β your content channel is pre-written.
β Build: Changelog/spec crawlers + diff classifier + canary runner + Slack app.π― First 10 ($0): Publish "this week in breaking API changes" as a free newsletter β the tool is the paid tier of the newsletter.
TokenTrim β the LLM bill shrinker
Most AI apps overpay 40β70% for inference. Take a cut of the savings.
PainTeams default everything to flagship models. Meanwhile the price spread is wild β the research found identical-quality image gen from $0.005 to $0.21, and smaller/faster model tiers (NB2 Lite at literally half NB2's price) launching monthly. Nobody re-audits.
ProductDrop-in proxy: analyzes your actual traffic, benchmarks cheaper models/tiers against YOUR real prompts with quality scoring, auto-routes what's safely routable, caches what repeats, and reports "you saved $2,140 this month."
Money20% of verified savings (aligned, self-selling) or flat $199/mo enterprise-lite. The invoice IS the case study.
ProofEvery AI company's #2 cost line is inference; OpenRouter's growth proved routing demand; the savings-share model made Ramp a decacorn in adjacent spend categories.
β Build: Proxy + eval harness + router + savings ledger. The eval rigor is the moat.π― First 10 ($0): Free "LLM bill audit" for build-in-public founders who tweet their costs β they'll tweet the savings too, tagging you.
RoboClerk β recorded browser agents for back-office grunt work
"Every morning I log into 5 portals and copy numbers into a sheet." β millions of people, daily.
PainOps staff everywhere perform daily ritual logins to portals with no APIs (insurance dashboards, supplier sites, government filings) transcribing data by hand. RPA (UiPath) costs enterprise money and needs consultants.
ProductRecord the workflow once in a browser extension β an AI agent (Browserbase/Stagehand-class stack) repeats it on schedule, adapts to minor page changes (the fatal weakness of old RPA), delivers to Sheets/Slack, and escalates to a human when genuinely stuck.
Money$49/mo per workflow, $199 for 10. Priced against the 30 min/day of wages it deletes ($2,600+/yr per workflow).
ProofBrowserbase: $3M revenue in 16 months, 50M+ sessions, 1,000+ paying customers β infrastructure demand proves application demand one layer up.
β Build: Recorder extension + agent replay + change-tolerance layer + escalation UX.π― First 10 ($0): TikTok/Shorts of an agent doing a soul-crushing portal ritual in 40 seconds β ops people tag their bosses unprompted.
PromptCI
You changed one line of the system prompt. What broke? Nobody knows. That's the product.
PainTeams ship prompt changes with zero regression testing β quality drifts silently, users churn mysteriously, and "it feels worse" is the only bug report.
ProductVersion-controlled prompt suites: golden test cases, LLM-judged quality scoring with human calibration, CI-gate integration (fail the PR if scores drop), drift alerts when providers silently update models under you.
Money$49/dev/mo. Sells to the exact moment a team's first prompt regression hits production β which is always soon.
ProofEvery serious AI team hand-rolls a worse version of this internally (the "users hand-roll it" signal); adjacent eval tooling (Braintrust, LangSmith) raised big rounds validating the category while leaving the lightweight-CI slice open.
β Build: Test runner + judge harness + GitHub Action + dashboard.π― First 10 ($0): Open-source the runner; charge for the hosted dashboard + history. GitHub stars are the funnel.
DocsBot Verticals
"Chat with our docs" β sold per industry, not per developer.
PainGeneric docs-chatbot platforms serve devs; entire verticals (property managers' tenant handbooks, clinics' patient FAQs, franchises' operations manuals) have document piles + repetitive questions + zero technical staff.
ProductPick 2β3 verticals: upload documents β branded Q&A widget trained ONLY on them (with citations + "I don't know" honesty), embedded on site/WhatsApp/SMS, weekly "what people asked that your docs don't answer" gap reports β which doubles as an upsell engine.
Money$99β249/mo per business by vertical. Vertical positioning ("the tenant-question bot") beats generic on price AND conversion.
ProofSiteGPT ran $28K MRR with 2 people selling the generic version; verticalized wrappers historically outconvert their generic parents 2β5x on identical tech.
β Build: RAG + widget + channel integrations + gap analytics. Two weeks per vertical after the first.π― First 10 ($0): Each vertical's trade Facebook group; demo answering THEIR most-hated repetitive question live.
ReviewIntel
Your competitors' app reviews are your free product-research department.
PainPMs guess at roadmaps while competitors' users write feature requests and rage-quits in public daily β unread because nobody mines 40,000 reviews by hand.
ProductTrack any apps β clustered complaint/request themes with frequency trends, "feature gap" reports (they're begging for X, nobody offers it), churn-driver detection on competitors ("mass complaints since their v4 redesign β strike now"), monthly PDF worthy of a board deck.
Money$99/mo for 5 apps tracked, $249 for 20. PM tooling budgets absorb this invisibly.
ProofThis vault used the same technique to find validated pains β it works. AppFollow/Appbot sell shallow sentiment at similar prices; the strategic-synthesis layer is the open seat.
β Build: App-store review ingestion + clustering + trend engine + report renderer.π― First 10 ($0): Publish teardown threads ("I read 8,000 Duolingo reviews β here's their soft underbelly") β PMs share these compulsively.
HookHerder β webhook reliability as a service
Webhooks fail silently and take revenue with them. Be the safety net.
PainA missed Stripe webhook = unfulfilled order; a missed Shopify webhook = the oversell from idea 038. Teams discover failures days later in support tickets β the research documented merchants living this exact nightmare.
ProductProxy layer for inbound webhooks: capture, verify, queue, retry with backoff, replay from any point in history, diff payload schemas over time, and alert on delivery anomalies ("Stripe events dropped 90% at 3am"). Five-minute integration.
Money$29β199/mo by event volume. Infrastructure subscriptions are the stickiest money in software β ripping it out is scarier than paying.
ProofHookdeck/Svix validated the category; both drifted upmarket/API-first, leaving the "I just want my webhooks to stop silently dying" SMB dev unserved.
β Build: Ingestion + queue + replay UI + anomaly alerts. Reliability engineering IS the product.π― First 10 ($0): Answer every "missed a Stripe webhook" horror thread on r/stripe and HN β they arrive weekly, pre-qualified.
AgentDeck β white-label voice-agent platform
Idea 050's engine room: the Shopify of AI phone agents.
PainThousands of agencies and vertical-SaaS founders want to SELL voice agents without building telephony, prompt engineering, compliance, and billing from scratch β the true-cost trap (headline $0.05/min becomes $0.13β0.33 stacked) burns them fast.
ProductMulti-tenant platform: white-label dashboards, vertical agent templates, number provisioning, transparent all-in per-minute costs (fixing the industry's pricing dishonesty), TCPA/state-disclosure compliance built in (California's rules carry up to $5K/call penalties β your compliance layer is literally worth money), Stripe Connect client billing.
Money$199/mo per operator + $0.02/min platform margin across ALL their traffic. Platform economics: your revenue scales with THEIR sales teams.
ProofNewo.ai reports 15,000+ agents built on it and raised $25M; GoHighLevel proved agency-white-label platforms reach $100M+ ARR. The wave is early enough to catch.
β Build: The biggest build in the vault β sequence it AFTER shipping 013/050 as your own proof.π― First 10 ($0): Document YOUR receptionist business publicly (revenue screenshots) β sell the platform to everyone who asks "how?"