
Open RAM — Run open-source AI on rented compute
Rent GPU/CPU compute and deploy open-source AI models with an API router.
playAutonomica · GitHub
Autonomica Rent GPUs and run any AI model, paid in SOL. Buy with $RAM and every $RAM spent gets burned.
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Rent GPU/CPU compute and deploy open-source AI models with an API router.
playAutonomica · GitHub
Autonomica Rent GPUs and run any AI model, paid in SOL. Buy with $RAM and every $RAM spent gets burned.

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

Deploy serverless AI models with a single line of code at competitive rates.
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替),Synexa 是运行无服务器 AI API 最具性价比的解决方案,提供业界最具竞争力的 A100 GPU 价格,相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

Find local businesses, score potential clients, and generate WhatsApp pitches to manage your freelance sales pipeline.
@AbosiGodwin · 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

Desktop-first open-source productivity system with Pomodoro tracking, habit building, and AI reflection.
@Shourya60756648 · X
Let's connect, checkout

Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

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

Browse and manage a library of 50,000+ AI prompts to streamline your workflow.
@iPranayJoshi · X
Would be honoured to come join! Built talk about vibe coding at

Manage equipment rentals, payments, and inventory tracking in one system.
@ShakibMd93031 · X
Built an Equipment Rental Management System to simplify rentals, payments, and equipment tracking. Looking for businesses interested in a demo or a customized solution.

Advanced Content Ecosystem Tracking and Creator Analytics Platform
@BuiltByAmar · X

Share context across AI agents so they remember your codebase and task history.
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.