Finance & Business4 days ago
Noema — AI Company Analysis
Analyze US stocks by watching AI investment personas debate each company.
hobbescotch · HN
Noema – AI personas debate US listed stocks
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Tech stack
19 projects
Analyze US stocks by watching AI investment personas debate each company.
hobbescotch · HN
Noema – AI personas debate US listed stocks
Free platform for testing, monitoring, and analyzing APIs with real-time insights.
@SajidAbuba74138 · X
A tool for developers
View analytics from multiple websites in one unified terminal.
@runFleets · X
Analytics for agent .
Web analytics platform that tracks website traffic and revenue without cookies, with AI traffic support.
@Datalenk · X
Compare and benchmark SaaS APIs with independent verified data to make informed build-vs-buy decisions.
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
Privacy-first analytics platform with AI copilot for SEO content research and publishing.
@VertCodeEU · X
Analyzes Reddit, HN, and App Store feedback to create startup validation reports.
@daicandev · X
Building proven, the tool that gets your product from idea to growing income
Score any of 8,000+ US stocks instantly to see if it's worth buying.
@PabloDevelops · X
making investmens easy
Analyzes agency meeting transcripts to detect scope creep risks and generate alerts.
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.
AI-powered sports analytics to inform betting decisions.
@Griffithjade626 · X
No-code platform for data analysis and document extraction.
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
Connect your Postgres or Supabase database and receive AI-powered alerts when your data drifts
@franciscobuilds · X
1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.