Beyond Generative AI, find the right AI solutions based on your needs
Hi HN, My name is Othmane and I’ve been in the ML field (building and shipping models) for the last ~5years. Today, as many people out there, I come across new AI tools every week. However I was a bit surprised to see little to no mention of established AI vendors that existed before chatGPT and how most use cases are heavily biased toward content generation (text/image) or conversational AI (chatbots). I built a tool that helps you find the right AI solution/provider based on your use case. It uses a curated database of 100+ solutions from established vendors. It covers things…
Beyond Generative AI, find the right AI solutions based on your needs launched on August 21, 2023 with 7 votes, #1,752 of 4,347 launches that month and more than 50% of that year's launches.
What it does
In the maker’s words, at launch
Hi HN, My name is Othmane and I’ve been in the ML field (building and shipping models) for the last ~5years. Today, as many people out there, I come across new AI tools every week. However I was a bit surprised to see little to no mention of established AI vendors that existed before chatGPT and how most use cases…
Does a similar job
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Aident AI Beta 2Mar 2026 · aident.ai · ▲398Hi HN — I’m Kimi, founder of Aident AI. A couple years ago, I cold-started a startup and tried to automate my outreach pipeline with a patchwork: RPA + Zapier + "just some ChatGPT". It worked… until it didn’t. Every time I tweaked the strategy, the automation snapped. The system wasn’t built for change — it was built for wiring. And that’s when it hit me: AI is finally smart enough to do real work, but we still don’t have a clean way to communicate the work to it: Drag-and-drop flows are too rigid; Scripts are too fragile; Prompts are too ephemeral. I kept thinking: why can’t automation be…



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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
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