8 subreddits — complaints, wish lists, feature requests
The Internet Complains. We Turn It Into Buildable Specs.
AI scans Reddit, Hacker News, and GitHub daily to surface real problems worth solving — with agent-ready specs so you can start building tonight.
- 300+ posts scraped daily
- 3 sources monitored
- Agent-ready specs
Sourced from where builders actually complain
Hacker News
Ask HN, Show HN — 200+ comments analyzed daily
GitHub
Issues from repos with 500+ stars
Builders are shipping faster
Join hundreds of indie hackers who stopped guessing and started building with validated problems.
300+
Problems scraped daily
8+
Sources monitored
500+
Indie hackers building
I spent weeks scrolling Reddit looking for ideas. ZeroToShip gave me a validated problem with a full spec in 10 minutes. Shipped my MVP that weekend.
The specs are shockingly good. I dropped one into Cursor and had a working prototype before lunch. This is how I find every project now.
Stopped guessing what to build. The problem scoring alone is worth it — I only work on ideas with real demand now.
How ZeroToShip Works
From raw social media posts to agent-ready specs — fully automated, updated daily.
- 1
We Scrape
Every morning, we scan 300+ posts across Reddit, Hacker News, and GitHub for real problems people are complaining about.
- 2
AI Analyzes
Our AI clusters similar problems, scores them by opportunity (frequency × severity × market size), and generates agent-ready specs with technical architecture and MVP scope.
- 3
You Ship
Browse the problem library, generate a spec, and hand it to Claude Code, Cursor, or your favorite AI agent. Go from validated problem to working code tonight.
Here's What a Spec Looks Like
ShipWatch
A real-time CI/CD dashboard built for solo developers and small teams.
Score 87/100Build: 1 Week
- The Problem
Solo developers and indie hackers juggle multiple projects across GitHub Actions, Vercel, Railway, and Fly.io. There is no single pane of glass that aggregates build status, deploy health, and failure alerts across all of these providers without enterprise-grade complexity or pricing. Developers waste 20+ minutes per day context-switching between dashboards just to check if their deploys succeeded.
- Target Audience
Indie hackers, solo founders, and small dev teams (1–5 people) shipping side projects or early-stage SaaS products. They use multiple CI/CD providers and want a lightweight, opinionated dashboard rather than a full DevOps platform.
- Market Size
There are approximately 4.2M active GitHub users with CI/CD pipelines. The solo/small-team developer tools market is valued at $2.1B (2025) and growing at 18% CAGR. The addressable segment for lightweight CI dashboards is estimated at $120M–$180M.
- Existing Solutions
GitHub Actions dashboard (limited to GitHub only), Vercel dashboard (limited to Vercel only), Datadog CI Visibility (enterprise pricing, $23/user/mo minimum), BuildPulse (focused on flaky test detection), and custom Grafana setups (require significant maintenance overhead).
- Market Gaps
No existing solution offers a unified, multi-provider CI/CD view at indie-hacker-friendly pricing ($0–$19/mo). Current tools are either vendor-locked to one provider, priced for enterprises, or require extensive self-hosting and configuration. None provide AI-powered failure triage or natural-language build summaries.
This is one problem from the library. Generate a full agent-ready spec with one click.
What a Pro Spec Includes
Generate complete, agent-ready specs for any problem in the library.
ShipWatch
Solo developers and indie hackers juggle multiple projects across GitHub Actions, Vercel, Railway, and Fly.io with no unified dashboard for build status and deploy health.
As a Solo developer, I want to connect my GitHub and Vercel accounts in one click so that I can see all build statuses in a single dashboard without switching tabs.
- ✓OAuth flow completes in under 10 seconds
- ✓Dashboard shows builds from all connected providers
- ✓Build status updates within 30 seconds of change
As a Indie hacker with 3 side projects, I want to get notified immediately when a deploy fails so that I can fix production issues before users notice.
- ✓Slack/Discord notification within 60 seconds of failure
- ✓Notification includes error summary and link to logs
- ✓Configurable alert rules per project
As a Small team lead, I want to view deploy frequency and success rates over time so that I can identify reliability trends and improve our shipping velocity.
- ✓30-day rolling chart of deploys per day
- ✓Success rate percentage with trend indicator
- ✓Filterable by project and provider
Everything You Need to Go from Problem to Product
From raw complaints to agent-ready specs — ZeroToShip covers the full journey.
Multi-Source Scraping
Reddit, Hacker News, and GitHub scraped daily for real pain points.
300+ Posts Daily
Hundreds of posts analyzed every morning to keep the problem library current.
8 Subreddit Coverage
r/startups, r/SideProject, r/webdev, and 5 more niche communities.
Custom Categories
Set your preferences: developer tools, SaaS, AI/ML, consumer apps, and more.
ZeroToShip vs. Finding Problems Yourself
See how much time and effort you save.
| Feature | ZeroToShip | Manual Research | ChatGPT / AI Tools |
|---|---|---|---|
| Daily problem discovery | YesYes | NoNo | NoNo |
| Multi-source scraping | YesYes (4 platforms) | PartialPartial (1-2 at a time) | NoNo |
| AI scoring & ranking | YesYes | NoNo | NoNo |
| Agent-ready specs | YesYes | NoNo | PartialPartial |
| Technical specs | YesYes | NoNo | PartialPartial |
| Go-to-market plan | YesYes | NoNo | PartialPartial |
| Time investment | 5 min/day | 2-3 hours/day | 30+ min/day |
| Price | Free – $19/mo | Your time ($50-100/hr) | $20+/mo |
Daily problem discovery
- ZeroToShip
- YesYes
- Manual
- NoNo
- AI Tools
- NoNo
Multi-source scraping
- ZeroToShip
- YesYes (4 platforms)
- Manual
- PartialPartial (1-2 at a time)
- AI Tools
- NoNo
AI scoring & ranking
- ZeroToShip
- YesYes
- Manual
- NoNo
- AI Tools
- NoNo
Agent-ready specs
- ZeroToShip
- YesYes
- Manual
- NoNo
- AI Tools
- PartialPartial
Technical specs
- ZeroToShip
- YesYes
- Manual
- NoNo
- AI Tools
- PartialPartial
Go-to-market plan
- ZeroToShip
- YesYes
- Manual
- NoNo
- AI Tools
- PartialPartial
Time investment
- ZeroToShip
- 5 min/day
- Manual
- 2-3 hours/day
- AI Tools
- 30+ min/day
Price
- ZeroToShip
- Free – $19/mo
- Manual
- Your time ($50-100/hr)
- AI Tools
- $20+/mo
Simple Pricing, Real Value
Full problem library access is free. Pay only for agent-ready spec generation.
Free
$0/month
Full archive access — browse every problem
- Full archive access — every brief, every section
- Daily email with complete briefs
- Search & filter all ideas
- Save & bookmark ideas
- 1 agent-spec generation per month
- Custom problem submission
- Problem watching & re-analysis
Most Popular
Pro
$19/month
7-day free trial — no credit card charged until day 8
30 agent specs/month + custom problems
- Everything in Free
- 30 agent-spec generations per month
- Custom problem submission
- Problem watching with weekly re-analysis
- Bulk export (Markdown & JSON)
- Priority support
Frequently Asked Questions
How is this different from browsing Reddit or Hacker News myself?
We scrape 300+ posts daily across 8 subreddits, Hacker News, and GitHub. Then AI clusters similar problems, scores them by opportunity, and generates agent-ready specs. You'd spend hours doing this manually — we do it in minutes and surface the highest-signal problems in a searchable library.
What sources do you scrape?
Reddit (r/startups, r/SideProject, r/webdev, and 5 more), Hacker News (Ask HN, Show HN, comments), and GitHub issues from repos with 500+ stars.
Can I filter problems by category?
Yes! Pro members can set category preferences (developer tools, SaaS, AI/ML, consumer apps, etc.) and we'll prioritize matching problems.
How are problems scored?
Our AI evaluates frequency (how often mentioned), severity (how painful), market size (how many affected), technical complexity, and time to MVP. The priority score balances opportunity against effort.
What's included in an agent-ready spec?
Problem statement, target audience, existing solutions, market gaps, technical spec (stack, architecture, MVP scope), business model, pricing strategy, go-to-market plan, and risk assessment — structured so you can paste it directly into Claude Code, Cursor, or any AI coding agent.
How fresh are the problems?
The problem library is updated daily with new problems from the previous 24–48 hours of posts. Problems are continuously re-scored as new evidence appears.
Is my data private?
Absolutely. Your preferences, saved problems, and browsing activity are never shared. We scrape publicly available posts — we don't access any private data.
Is there a refund policy?
Yes. If you're not satisfied within the first 14 days, we'll refund your payment in full. No questions asked.
Your next project starts with a real problem.
Sign up in 30 seconds. Browse validated problems and generate your first spec tonight. No credit card required.
Full library access free. Upgrade to Pro for agent-ready specs.