Alternatives
Products that do what Osmoar: A Bayesian Suggestion Engine does
A friend and I are launching an alpha first thing in 2011. We're trying to gain some momentum and whatnot, so we're opening early registration as of tonight. We're planning to develop a Bayesian network to derive suggestions. If you're interested in seeing our progress, check it out. Edit: Any and all suggestions, criticism, advice, etc is highly appreciated!
- 1IS
Everything that would be here is in the README. I hope this gets big, it has tons of potential.
2013 · github.com
- 2MW
This was more of a sandbox to play with Raphael and Flot than anything else but I think there are some interesting statistics in there. It'd be awesome to do this over time but I really don't have the spare time required.
2011 · burntbrunch.github.com
- 3IM
This is our entry in the "spontaneous event creation" ring. I'd love to hear what HN readers think!
2011 · shoutfast.com
- 4UI
Hey everyone! I am excited to share updates on four of my & my teams' open-source projects that take large-scale search systems to the next level: USearch, UForm, UCall, and StringZilla. These projects are designed to work seamlessly together, end-to-end—covering everything from indexing and AI to storage and networking. And yeah, they're optimized for x86 AVX2/512 and Arm NEON/SVE hardware. USearch [1]: Think of it as Meta FAISS on steroids. It's now quicker, supports clustering of any granularity, and offers multi-index lookups. Plus, it's got more native bindings than probably…
2023 · usearch-images.com
- 51R
I wanted to find a product idea to build. "Build things people want," right? So I thought, why not literally find people saying what they want? I wrote a script to collect thousands of Reddit posts where people are looking for a solution or complaining about a problem. Then I used GPT to filter out the noise and score each one based on how viable the idea seemed. Threw together a simple search interface so anyone can explore them. I was planning to build a more advanced paid version of this, but figured I'd share the raw version first to see if it's actually useful to anyone.
Nov 2025 · search.reddit-business-ideas.workers.dev
- 6DA
We made this for our school project. I think we went a little too ambitious.
2023 · github.com
- 7LG
Hi there, I've decided to jump on the AI train and put something together with low effort & high reward, to see if it can get any traction. What do you think? Is it a promising area? Do you guys have ideas for me? There is obviously going to be sea of LLM generated content out there and one project adding up to it might not necessarily be what world needs. In the same time there is something intriguing about the area. Well, please play with it and let me know what y'all think. Much appreciated.
2023 · canonica.ai
- 8TC
Hi HN, I'm thrilled to share with you think, a command-line tool that I developed while diving back into the programming scene. For the past few years, my focus had shifted from hands-on programming to managerial roles, my last one being at Affirm (I started Affirm's Polish office). However, I recently left my job to revisit my passion for coding and see if I could still write code that works. Not to mention that with what is currently going on in AI if you are a developer this probably the best possible time for a sabbatical in human history :) My first attempt was with LangChain, but I…
2023 · github.com
- 9IB
Disclaimer it is a heavily AI assisted project. The goal was not to be the most performative but the kind that's easier to learn from. I wanted to share this in case there are people who had the same idea or wanted to see something like this.
Jun 2026 · github.com
- 10WB
Here is a production-first Keras-inspired LM framework, built with the advice of François Chollet (ex-Google, creator of Keras and ARC-AGI), our technical advisor. This system have already been deployed in production with our clients (which is why we have already every LLMOps practice implemented). It is also compatible with Jupyter and Marimo to integrate seamlessly in you Data Scientists workflows. You can try the code examples online on HF space and you can find more information in the documentation and FAQ. If you have any feedback for us don't hesitate to join our discord! More releases…
2025 · github.com
- 11IB
Fully leaned into vibe coding this time around. Started on v0, at some point ejected into running locally (getting v0's exported folder to run locally was a challenge), then iterated with Cursor over the course of a few hours. Really neat how much can be accomplished just conversationally these days.
2025 · macrodata-refinement.arjit.me
- 12FC
Hi there, I've created this side project to make it easier to find interesting repositories using AI. There's still a lot of work to be done to improve it, so any suggestions for enhancements would be greatly appreciated. Thank you!
2024 · awesome-repositories.com
- 13IB
I had an idea for this concept for a while and decided to build a little website around it. It's kind of a silly idea but I'm really curious to see how it plays out. If you're a particularly curious person, be warned. By submitting a payment to the game, you get to see how many other people were curious enough to play. You will be ranked based on your payment amount, and get to discover some interesting insights about the game's dynamics. Hope you like it
2024 · thecuriositygame.com
- 14IM
Hey HN! I made a completely open sourced alternative to Weights and Biases with (insert cringe) blazingly fast performance (yes we use rust and clickhouse) Weights and Biases is super unperformant, their logger blocks user code... logging should not be blocking, yet they got away with it. We do the right thing by being non blocking. Would love any thoughts / feedbacks / roasts etc
2025 · github.com
- 15IM
Hey HN! Thank you for all the support and feedback on my original submission 2 months ago. I've been improving the backend using a MCTS/AlphaZero approach and it's currently producing much better results. My long term goal is to allow users to manage multiple projects, deployed autonomously, both from scratch and by making continual updates all prompted with natural language. The cost of each project has been lowered to $9 as performance with smaller models has improved (I migrated from Claude-3-Opus to gemini-1.5-flash). Thanks for checking it out!
2024 · saas-quick.com
- 16IB
So I've been obsessed with a weird question for the past 6 months, what happens to SEO when everyone starts asking ChatGPT for recommendations instead of Googling? The answer, apparently, is chaos. And maybe opportunity? I built FirstClick because I noticed something strange. My previous startup was getting zero traffic from AI assistants, but our competitor (objectively worse product, sorry not sorry) was getting mentioned by Claude and Perplexity constantly. It drove me crazy. So I reverse engineered why. Turns out there's a whole new game being played and most founders don't even know it…
Dec 2025 · firstclick.so
- 17IO
Hey folks, I’m the creator of WFGY — a semantic reasoning framework for LLMs. After open-sourcing it, I did a full technical and value audit — and realized this engine might be worth $8M–$17M based on AI module licensing norms. If embedded as part of a platform core, the valuation could exceed $30M. Too late to pull it back. So here it is — fully free, open-sourced under MIT. --- ### What does it solve? Current LLMs (even GPT-4+) lack *self-consistent reasoning*. They struggle with: - Fragmented logic across turns - No internal loopback or self-calibration - No modular thought units - Weak…
2025 · github.com
- 18IA
I am still working on the concept so feedback is welcomed! if you are interested please leave your email or let me know. I am still trying to know whether this app is worth building.
2024 · motionapps.ai
- 19WT
I've been lurking on HN for years. You know the drill: interesting headline, 200+ comments, you dive in thinking "I'll just skim for 5 minutes"... and an hour later you're 36 chambers deep in a thread about memory allocation patterns in Postgres and you've completely forgotten what the original article was about. I don't just want a "summary" (which usually just shortens the noise). I want the meta-consensus: "What is the actual trade-off being debated? Who is winning the argument? Why does this matter?" So I built HNSignals. Think of it less like a "summarizer" and more like a Chief of…
Jan 2026 · hnsignals.com
- 20YA
Hey folks! I'm a founding engineer at Yorph AI, an agentic data platform, built using ADK, that helps users (starting with product managers and analysts) join data from different sources (upload or sync), build version-controlled and reliable data workflows, and clean, analyze, and visualize data — all in one place. We're also releasing semantic layer creation later this week. The beta is live at yorph.ai/login — would love to hear your thoughts and feedback! (FYI: We're still waiting on Google app verification — you'll see a warning for a few days. Dropbox shows a similar one since…
Nov 2025 · yorph.ai
- 21AG
I've been working on a platform that uses LLMs to turn any random idea into 2-3 minute episodes - one of the newer ones is JARS Tank, where you can pitch inventions to a panel of AI investors. Would love to hear your thoughts!
2024 · jars.ai
- 22KT
Hi HN! I built this tool, because Large Language Models are hallucinating their asses off and I wanted to test just how bad it is with a topic I know best - myself. I'm sure there are other egos out there who google themselves and essentially this is the new googling yourself. It's early beta, so lots of room for improvement of course.
2023 · haveibeenencoded.com
- 23AM
With massive respect to Jeff Sutherland and all the thought leaders who met at a ski lodge in Snowbird, Utah, in 2001 and created the Agile Manifesto - it might be time to revisit / refresh / revitalize the Agile Manifesto in light of the emergence of LLMs. The scarce resource is no longer programming capacity, but organizational clarity and architectural coherence. As a thought exercise (and for fun) I took a stab at it. I would love to get some collaborative feedback to improve it. Of course I do not expect this to replace the Agile Manifesto but I'd like to use it when speaking…
Jun 2026 · danstroot.com
- 24IC
For the last few months I have been analysing Peter Lynch’s books on stock picking and doing prompt engineering to check if AI could create useful stock analyses. To my surprise it started making reports that allow me to understand companies much faster with well cited sources. I hope you find it interesting and useful :) Perter Lynch’s books I analyzed: Learn to earn, One up on Wall Street, Beating the street
Jun 2026 · github.com
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