Agents currently scanning 12 live sources for market signal →

Every other tool asks GPT. We actually look.

Connect your GitHub. ValidKit deploys four specialized AI agents that read your code, scrape live market data, and return a brutally honest verdict on whether you're building something people will pay for.

While you read this sentence, an agent is scraping Reddit, Hacker News, and Product Hunt for real pain signals in your problem space — not hallucinating from training data.

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// THE WAR ROOM — four agents, one verdict

AGENT_01
The Skeptic
Code Analyst

Reads your actual repository. Identifies what your app really does vs. what you think it does. Flags the mismatch between your codebase and your stated market.

GitHub API README Commit history
AGENT_02
The Scout
Market Researcher

Deployed to 12 live sources right now. Finds real people describing your problem in their own words — or confirms nobody is talking about it at all.

Reddit Hacker News Product Hunt G2
AGENT_03
The Mapper
Competitor Intelligence

Finds your real competitors live on the web — including ones you don't know about. Reads their pricing, reviews, and complaints to find the gap you can exploit.

Live web App Store reviews Pricing pages
AGENT_04
The Jury
Customer Simulator

Spins up 3 synthetic customer personas and runs them through your product. Returns real objections, buying triggers, and pricing reactions before you talk to anyone.

Persona synthesis Objection mapping WTP analysis
All 4 agents operational
12 live data sources
Avg. analysis time: 90s
Zero training-data hallucinations
// THE HONEST DIFFERENCE

Every other validator just asks
ChatGPT what it thinks.

DimeADozen. ValidatorAI. FounderPal. IdeaProof. They all work the same way: take your text description, wrap it in a prompt template, call the OpenAI API, format the response as a "report." The market research isn't research — it's the model's best guess based on data that's already months old.

ValidKit deploys actual agents that go and check. The Reddit threads are scraped fresh. The competitor pricing pages are read in real time. The market signal is live — not recalled from training weights.

And because we read your GitHub repo, we can tell you something no other tool can: whether what you've already built matches the market you think you're targeting.

What validators do
Them
ValidKit
Market research
Ask GPT what it remembers
Scrape 12 live sources right now
Competitor analysis
LLM lists known brands
Agents read live pricing + reviews
Input context
Text description only
Your actual GitHub repo
Customer feedback
GPT-generated personas
Simulated interviews + WTP scoring
Data freshness
Training cutoff (months old)
Real-time, every analysis
Code-to-market gap
Not possible
ValidKit exclusive

// LIVE DATA SOURCES

12 sources. Scraped fresh.
Every single analysis.

Not cached. Not from training data. Actually fetched the moment you hit analyze.

Reddit (r/SaaS, r/entrepreneur, r/indiehackers)
Hacker News
Product Hunt
G2 Reviews
App Store Reviews
Capterra
Twitter / X
Indie Hackers
GitHub (your repo)
Competitor landing pages
Competitor pricing pages
Google Trends (live)

Why does this matter? A market that was cold 6 months ago might be hot today. A competitor that didn't exist last quarter might have already solved your problem. Stale training data can't tell you that. Live agents can.

// SAMPLE OUTPUT

What you actually get.

validkit — analysis complete in 87s
$validkit analyze github.com/yourname/yourapp --deep
AGENT_01 · The Skeptic · Code Analysis
→ Parsed 2,847 lines across 34 files
→ Detected 3 user roles in codebase (admin, member, viewer)
→ README describes 1 user type — ⚠ targeting mismatch
→ Core value: async task delegation with approval flows
AGENT_02 · The Scout · Live Market Research
→ Scraped 847 posts across Reddit, HN, Product Hunt
→ Found 312 threads describing your exact problem in last 90 days
→ Top pain quote from r/entrepreneur (2.3k upvotes):
"I just need something lightweight for async approvals — every tool I try is built for 50-person teams"
→ Demand signal: STRONG · Trend: ↑ growing
AGENT_03 · The Mapper · Competitor Intel
→ Found 6 direct competitors (3 you didn't list)
→ Pricing gap: $0–$12/mo is unoccupied for solo-tier
→ Top complaint in competitor reviews: "too complex for small teams"
AGENT_04 · The Jury · Customer Simulation
→ Persona A (solo founder, $0 budget): won't pay > $9/mo
→ Persona B (ops manager, 10-person team): would pay $29–49/mo · high intent
→ Persona C (freelancer): interested, needs free tier first
SYNTHESIS · Verdict
viability_score 74/100
biggest_risk You're building for admins, marketing to solos
best_early_adopter Ops managers at 5–15 person startups
next_48h_action Post in r/entrepreneur with this exact angle →
recommended_price $29/mo — confirmed by Persona B simulation
$

Stop building on
vibes and hope.

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