Developer Tools2 weeks ago
Auriko | One API for Every LLM, Zero Markup, Cache-Aware Cost Arbitrage
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
The full gallery
Tech stack
28 projects
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
Convert client extra-work requests into professional pricing proposals for instant approval.
@ivelin_dev99 · X
ProofNod solves unpaid scope creep for freelancers and small agencies. When a client asks for extra work, you send the price/timeline impact, get a clear yes, then start. Private beta opens July 1, first 50 founding members get 50% off.
Sports betting analytics with +EV fair-value checks, projections, and bet tracking.
u/sweetnessssss · Reddit
Nine months ago I quit my data science job to build an app. The app is still hungry. Nine months ago I left a comfortable data science job at a travel company to build a sports betting app. Comfortable is and odd word for a job - it means the money arrives on schedule and nobody in your family asks if you're okay. The app is called THE LINEUP ( https://thelineup.pro/ ) -- it does the unromantic parts of betting: comparing prices, working with projections and tracking what happened afterwar
Simulate your retirement with Monte Carlo analysis to see your probability of reaching your goals.
u/Negative-Ticket-9716 · Reddit
I open-sourced a free retirement planner with real Monte Carlo simulation (React + Supabase + edge functions) I built a free retirement planning tool that runs the analysis financial advisors charge $2,000+ for: a 10,000-trial Monte Carlo simulation over your savings, allocation, and withdrawal plan — probability of success instead of a single-point guess. It also models Social Security claiming ages, Roth conversions, and has a stress test that replays 2008, 1970s stagflation, and the Lost D
One link to manage deals from pitch to payment: book meetings, sign contracts, get paid.
@abhinav__dubey · X
Heyy Yooo! Building one link that helps SMBs go from first pitch to fully paid process, no juggling four tools to get there.
Track Pokémon TCG card prices with AI-powered market predictions for your collection.
@mylordbugsy · X
I'm working on TCG Forecast, a website for the #PokemonTCG community that will help users know which card in their collection is getting value using advanced AI, all for free! It also has a leaderboard showcasing the position of EVERY Pokémon's worth
AI financial coach showing how much you can safely spend before payday.
u/simba2k20 · Reddit
Clarity – An AI financial coach What actually brings users back to a personal finance app every week? I’m exploring whether a weekly recommendation, safe-to-spend update, goal progress, or alerts create the strongest retention loop. For people who have built finance or habit-based apps, what worked and what did not? Landing Page: https://clarity-web-seven.vercel.app/landing.html Web App: https://clarity-web-seven.vercel.app/ I’m especially looking for feedback on onboarding, ret
Issue single-use virtual Visa cards for AI agents with configurable budgets.
keyserfaty · Product Hunt
Agentcard for companies Give your agent a debit card
Monitor your portfolio holdings, analyze performance, and get AI-powered personalized financial planning with predictive insights.
KORAYTEACHER · GitHub
fintech-advisor ai fintech financial advisor for your portfolio
Unify revenue from Stripe, Paddle, Polar, and Dodo Payments to track progress toward your MRR goals.
@Ranjith_Snifty · X
TargetMRR helps to reach your targeted MRR.
Set budget limits for AI agent calls and automatically block expensive requests.
@orvi_onethread · X
I am looking for beta tester. 😌
AI tool that analyzes business ideas with financial projections and risk scenarios in 90 seconds.
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.