Productivity1 month ago
AI Product Opportunity — evidence-backed product opportunities
Discover and validate AI product opportunities using customer pain points, competitive signals, and market data.
vinitk80555 · HN
AI Product Opportunity
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Discover and validate AI product opportunities using customer pain points, competitive signals, and market data.
vinitk80555 · HN
AI Product Opportunity
Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -
Work through complex choices with AI to clarify trade-offs and get structured recommendations.
@arunkumarkundra · X
I vibe coded this app: My experience has been mixed. It is an iterative process, and you need to push back. But over time, I have seen Claude get better. If not for AI, I couldn't have developed the app in the first place, so I am thankful 🙂
Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X
Run AI-assisted scans on your AI-built product before launching.
shahzar_shad · Product Hunt
Launchieve Launch your AI-built product with fewer surprises
Describe any niche or market and get a complete AI-generated strategy report in under a minute — search demand, competitor analysis, TAM/SAM/SOM market sizing, pricing, a go-to-mar
@hidayata_ · X
Save hundreds of hours by validating your idea before jumping into your next venture
Upload cosmetic ingredient lists to instantly generate audit-ready compliance reports.
@taerijakga · X
Just shipped my 2nd AI service. InciGuardian — ingredient screening for indie beauty founders & formulators. CSV upload → audit-ready PDF report. EU, US & China regs. Instantly. Built AI-native. No lab. No team. Just me. #buildinpublic #indiehacker
Automate stock trading strategies using AI backtesting and research tools without coding.
u/person-person12 · Reddit
The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b
Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP
Evidence-backed intelligence on 170+ AI companies — funding, valuation, revenue, pricing, enterprise adoption, and risk, with every figure traced to a dated source. Built for analy
@AbhishekYatwf · X
Find real pain points people are complaining about — and turn them into SaaS ideas. PainRadar analyzes discussions and reveals recurring pain points, product opportunities and SEO
@AkibaSacha10334 · X
Upload datasets to automatically find statistically significant correlations and causal relationships.
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.