Developer Tools1 week ago
FlexInference: Drop your AI costs today
Route your LLM API requests across multiple providers to cut costs and meet latency targets.
Aperswal · HN
Made a Free LLM Router
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39 projects
Route your LLM API requests across multiple providers to cut costs and meet latency targets.
Aperswal · HN
Made a Free LLM Router
Automatically route each prompt to the cheapest capable model to cut API costs.
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified
Analyze real-time financial data and get automated investment insights powered by AI.
@tonylexfi · X
Get instant browser notifications when Claude or GPT usage limits reset.
@HYBBB2002 · X
🔔 Never miss an AI limit reset event again! presentAI tracks Claude & GPT reset events in real-time and sends you an instant alert the exact moment your limits are back.
Scan smart contracts for vulnerabilities and get gas optimization suggestions.
@Ninjafromqueens · X
Hello! I am the founder and owner of Audit your smart contracts before deploying.
A REST gateway for agents to access Filecoin Onchain Cloud with human-approved spend limits.
@Adam_shelbie · X
6/ Live on Filecoin Calibration testnet. Dashboard, docs and working Python examples all shipped. 🔗 🔗 Built for @FilecoinTLDR Builder Challenge Cycle 3 for @Filecoin Let agents pay. Keep the last word. #claudeopus5 #vibecoding
Automate App Store Connect tasks like bulk pricing, screenshots, translation, and releases.
@RedjanHysa · X
App Store Connect makes simple things painful, so I built . Localizing pricing across every available storefront, writing and translating all app's metadata, editing screenshots in one tool and uploading them in another... well, that just takes time from actually building. With MetaRun you have everything in one place: bulk pricing with ppp-based localization, AI-translated metadata, screenshot studio where you edit screenshots, translate them in every language you support and publish them with one click, and many other tools. Oh, you can also use MetaRun directly in Claude Code, Codex, or whatever agent you're using, via MCP, so you never leave your IDE :). Check it out and tell me what you think.
AI financial automation for bookkeeping, forecasting, invoicing, and daily business summaries.
@ClaremoAi · X
Im building an Al finance department that automates bookkeeping, cash flow, forecasting, invoicing, taxation, and gives founders instant answers about their business using live financial data.
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.
All-in-one platform for calculating EMIs, taxes, mutual funds, stock trading, rent vs buy, and retirement planning.
@sarkar68154 · X
Just launched FinoSphere Pro and the feedback on Product Hunt is 🔥 [ Free all-in-one finance calculator 👇 #buildinpublic #finance
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.
AI-native CRM platform for B2B sales that captures, enriches, scores, and routes leads automatically.
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha