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Zhou🙏 17 karmaAug 28, 2023@AirparserVery unique document parser. Works extremely well even on complex PDF tables and emails -
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Enterprise-grade open-source AI inference at unlimited scale.Open
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"Finally — an AI cost tool that actually aligns incentives" I've been working in enterprise IT and AI infrastructure for years, and Lexi is one of the most elegantly designed products I've seen in this space. The core insight is simple but powerful: don't charge unless you save money. That alignment alone sets it apart from every other API middleware I've tested. The integration literally took under two minutes — one URL change in our config, and we were live across multiple providers. The cost transparency in the response headers is genuinely useful for us as a team building on top of AI; we can now log, display, and report on exact token costs per request. The O(1) memory compression is the real technical differentiator. Long AI conversations tend to degrade in quality and balloon in cost — Lexi solves both problems simultaneously. For anyone running AI in production at any scale, this is infrastructure you didn't know you were missing. Highly recommended for developers, startups, and enterprise teams alike. -
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Trust scores, cryptographic proof, and risk assessment for AI agents.Open
We built Mnemom because we were shipping AI agents into production and couldn't answer a basic question: how do you prove this thing is doing what you told it to? Not monitor. Prove. So we built the proof layer. Cryptographic attestations, trust scores, risk assessment, containment — everything you need to deploy agents you can actually stand behind. It's free to start and open source. We'd love to hear what you think - new features shipping daily. -
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Get Expert AI Marketing Agents to Grow Your Brand With Near-Zero CostOpenI work mainly with the influencer marketing agent and the PPC - and I was able to let go of both my agencies. It's crazy. -
AI-native OCR platform, 95%+ accuracy, zero prompt engineering, flags uncertain fields.OpenWe are a team of founders who worked before in data extraction, with traditional manual review of each document to check accuracy / errors. We are so excited about AI and the new LLM models because we have created DeepRead using those and the accuracy is 95% and we flag uncertain fields so no one has to manually review entire documents (whew), only the exceptions! We hope you try it out and please share your review, comments and feedback. Looking forward to hearing from users! - Didn't find the AI you were looking for?
