🤓 Latest Submissions
First100
Most founders build for months. Then launch. Then hear crickets. First100 exists to prevent that. Enter your startup idea and in 45 seconds, Bright Data fires 60+ live SERP searches across Reddit, IndieHackers, Quora and ProductHunt — returning real people, real quotes, real posts about the exact pain your product solves. Right now. Not cached. Not mocked. Live. Every signal card shows a real username, a real quote, and a "Reach them →" button that opens the actual post. Click it. The person is real. The pain is real. Your first customer is already out there talking — First100 finds them before anyone else does. HOW BRIGHT DATA POWERS THIS: Without Bright Data's SERP API, this product doesn't exist. Every scan fires 60+ parallel queries through Bright Data's infrastructure — bypassing bot detection, handling JS-rendered pages, returning live results across 4 platforms in one shot. No rate limits. No geo-blocks. No stale data. WHAT YOU GET: → Real signal cards with live Reddit/IH/Quora/PH posts → Urgency Score (0-100) based on real conversation volume → Top communities ranked by engagement → Core pain points extracted from real complaints → Complete GTM Playbook: positioning, ICP, outreach templates → Day-by-day Week 1 action plan → One-click PDF export We audited every GTM submission in this hackathon. Most have broken demos, mocked data, and empty dashboards. First100 works. Every scan. Every time. Try it — no signup, no friction, results in 45 seconds. TECH: Bright Data SERP API · Reddit API · Gemini 2.5 Flash · Claude Sonnet fallback · Next.js 14 · Vercel Built in 5 hours by a solo founder.
31 May 2026
Qrew — Your AI Founding Team
Solo founders fail not because of bad ideas — but because they can't afford a team. Hiring a researcher, strategist, designer, developer, and growth hacker costs $50K–$200K per year. Qrew solves this by giving every solo founder a complete AI founding team. Describe your startup idea in one line. Qrew automatically names your startup, identifies your market, and assembles five specialized AI agents that get to work immediately. Alex handles market research using Tavily API — delivering competitor analysis, audience insights, and market sizing. Sam builds the full business strategy using Claude Sonnet — positioning, pricing, and a 90-day go-to-market roadmap. Jordan creates your brand identity using Fal.ai Flux — colors, fonts, and hero images. Morgan generates your complete Next.js codebase using the v0 SDK and Claude — landing page, authentication, dashboard, and payment integration. Riley pushes everything to GitHub and deploys to Vercel — delivering a live URL. IBM Bob was our development partner across 15 sessions throughout the build. Bob helped architect the multi-agent pipeline, debug the streaming system, redesign the UI, fix Morgan's self-correction logic, and engineer the agent prompts. All Bob session exports are included in the repository under /bob_sessions. Qrew uses a credit-based pricing model. A standard build costs 1.5 credits (~$3), with API costs of $0.80–$1.20 per build, giving 60–70% gross margins. Free tier includes 10 credits on signup. Qrew proves its own thesis — the right AI partner lets a solo founder move at team speed. IBM Bob was that partner for us. Qrew is what we built. Now every founder can have the same advantage.
17 May 2026
