The full gallery
Tech stack
14 projects
View LLM API spending analytics by model and environment with optimization suggestions.
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
Analyze US stocks by watching AI investment personas debate each company.
hobbescotch · HN
Noema – AI personas debate US listed stocks
Privacy-first analytics platform with AI copilot for SEO content research and publishing.
@VertCodeEU · X
Track personal finances with AI-powered analytics for budgeting and goal management.
Elias569 · GitHub
fintech-dashboard fintech dashboard for personal finance management which track income and expenses, leverage AI-powered analytics, manage budgets and financial goals, enjoy a dark theme
AI-powered sports analytics to inform betting decisions.
@Griffithjade626 · X
Web analytics platform that tracks website traffic and revenue without cookies, with AI traffic support.
@Datalenk · X
AI marketing automation system that learns your business and optimizes campaigns over time.
@elanao · X
Marketing is typically the least systematized function in a startup. Supercurve is the system: it decides what's worth doing, does it, and gets sharper with every result. Backed by Antler.
Trading signals for the AI & Robotics sector with published track record.
@TradingResXYZ · X
Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.
Score any of 8,000+ US stocks instantly to see if it's worth buying.
@PabloDevelops · X
making investmens easy
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!
Monitor Reddit in real time to surface leads, competitor activity, and engagement opportunities.
@shawntenam · X
Claude Code Daily... Version 3 is live. Just shipped a clean refresh of the daily landing page: tighter flow, better signal extraction, and a soft CTA at the bottom that points builders toward without being pushy. Last week I dropped the previous version straight into the Claude Code subreddit. Result? ~400 visitors, only 5 clickouts. That’s how i test and iterate on Reddit. never blast a direct product link. You share the actual value first. the blog post itself. and let the equal exchange do the work. If someone finds the daily brief useful and wants to go deeper (beyond basic scraping into real intent signals), the path is there naturally. No deception, just reciprocity. builder mindset in action: ship fast, measure honestly, refine in public. does V3 hit cleaner? Drop your thoughts below.
Analyze landing pages for conversion issues and get ranked fixes with estimated lift.
@JonBuildsHQ · X
My project is A tool for SaaS founders to spot landing page leaks. What are you working on?
