Alternatives
Products that do what ModelSignature – Get end-user feedback for your OS AI models does
I was surprised to learn that open source model providers never get feedback/reports from their actual end-users. Once you publish your OS model, you only get feedback from technical users who find the HF community tab or manage to email you directly. I wanted an easy way to tell the model provider mid conversation that their model sucks & why. I've been working on ModelSignature, a system that embeds a feedback URL (a “Model Signature”), directly into model weights using LoRA fine-tuning. Users can ask the chatbot "where can I report issues?" and the model responds with its…
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Time-stamped feedback on your video frm your team & AI. Free
Jul 2026 · review.heyeddie.ai
- 3OS
Hey HN, it’s Russ - cofounder of LiveKit. An open source stack for building realtime AI applications. We’re sharing our first homegrown AI model for turn detection. Here’s a live demo: https://cerebras.vercel.app/ Voice AI has come a long way in the last year. We now have end-to-end systems that can generate a response to user input in 300-500ms — human level speeds! As latency reduces, a common problem that surfaces is the LLM responds too quickly. Any time there’s a short pause in a user’s speech, it ends up interrupting them. This is largely due to how voice AI applications…
2024
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- 5PA
We (@emrenx and I) wanted a simple little tool that would help us get better feedback so we could move faster. We knew that anonymizing the data would help. For more research on this approach, check out 360-degree feedback http://en.wikipedia.org/wiki/360-degree_feedback. http://pitchback.me/
2012
- 6MI
Hi! Recently I've launched - mybfio.io - platform for software reviews with social network aspect. Prehistory Many great system are already in place that allow people to search and rate software products, including the site I am publishing this post on. However I have always felt that those systems are not specifically centered around product/software development lifecycle (releases, real users feedback over a product entire lifetime, so on) and often too broad or not designed specifically for that type of work, which is ok. Why? As an opensource author I would like to have constant…
2021
- 7OS
Hi everyone! Here is an open source implementation of a decently performant server hosting zero-shot image models (CLIP for image classification, OWL-ViT-ST for object detection), with an extra algorithm to allow users to give the models feedback when they make mistakes! We built a company off this flavor of tech two years ago and have clients who are currently using our commercial API. We are now moving on to other projects but want to make sure our clients still have access to the approaches that they've grown to rely on, so we're open sourcing a simple implementation that they'll be able…
2024 · github.com
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- 9IM
Heya HN, after spending +1 year building an ML-driven analytics product (that didn't pan out unfortunately), I've pivoted to solving a problem my team and I found while building the previous product … why the hell is it so hard to move a model from a Jupyter notebook, to a development server, then to a production pipeline!? To solve this my team and I started the open source KitOps project under the Apache 2 license. KitOps includes the Kit CLI that uses a Kitfile manifest to create ModelKits: 1. The kit CLI packages your model, datasets, code, and configuration into an OCI compliant…
2024 · kitops.ml
- 10MC
Hey HN - I built ModelGuessr, a game where you chat with a random AI model and try to guess which one it is. A big open question in AI is whether there's enough brand differentiation for AI companies to capture real profits. Will models end up commoditized like cloud compute, or differentiated like smartphones? I built ModelGuessr to test this. I think that people will struggle more than they expect. And the more model mix-ups there are, the more commodity-like these models probably are. If enough people play, I'll publish some follow-up analyses on confusion patterns (which models get…
Dec 2025 · model-guessr.com
- 11WB
Hi everyone, We have been developing a platform to enable professionals to build AI assistants to help them through their work. After a few months, we realized people are trying to sell basic functionalities that can be built from scratch in a couple of hours. Due to this, individuals who are not familiar with the current SOTA are misinformed about the potential of generative models. So, we decided to open up some of our most popular templates as standalone tools for free to empower individuals and set a solid standard for what people should expect. We believe the barrier to accessing…
2024 · join.modularmind.app
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Hi all, I threw together a small prototype I am calling “Notepad.ai”. A new take on UIs for interacting with LLMs. While I enjoy using LLM’s in the chat format I wanted to see what it would be like to do it in a more long form style. It let’s you write in a pretty free form, much like Window’s Notepad, but you can choose to hit ctrl+[ to analyze the text with a preset prompt of your choosing. It has a few other small features. It’s WIP and very experimental. I would appreciate any feedback or thoughts. Video: https://youtu.be/ntdlgFmSxQY Live Demo:…
2024 · github.com
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I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…
2025 · codii.dev
- 15EE
Hey everyone on HN! We recently spent the past couple of weeks building out an end-to-end platform which can plug-in multiple models (both open/closed-source) to create voice driven conversational applications. We've tried to make the process simple & concise through documentation. Feel free to try it out and provide feedback. We will be launching a dashboard in the coming week for monitoring and analytics alongwith more open source models. Let us know what you all think. (if you want to contribute, we have tons of features planned - do let us know)
2023 · github.com
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Hey HN, I’m Asa, one of the co-founders of Voicepanel (https://voicepanel.co). We’re building a new way to gather feedback using AI, as an alternative to running surveys. Simply share what you want feedback on; Voicepanel will recruit respondents, conduct open-ended interviews, and synthesize the insights automatically. Check out a demo here: https://youtu.be/6_C8netV38E, sign up for a free 7 day trial (https://voicepanel.co/) or try out examples of our product in action without a login (https://www.voicepanel.co/#examples). Why…
2024
- 17IB
Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…
2024 · viewpointhq.com
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As a product manager I've used different feedback tools and almost never liked the design and experience of the widget. And pricing of some existing tools is just way too high, at least for indie makers or small businesses ($35 for 100 responses...). That's why I've launched Freddy Feedback (today!). You can find it on www.freddyfeedback.com. Curious to hear your feedback (very meta ;-)).
2020
- 19IM
Hi All, I’ve been working on an open-source SDK to make collecting user feedback on your website less painful. Instead of wasting time on building your own feedback system and boring forms, my SDK lets users leave feedback directly on your website—with all the context devs actually need. Here’s what it currently does: Users can select any element on the page Auto-captures logs, metadata & screenshots Sends instant notifications (Slack, Discord, etc.) Lets you reward users → boosts engagement & conversions Gives users a tracking link → builds accountability & trust Self-host + customize the…
Sep 2025 · roastnest.com
- 20IB
Hey HN, Managing external feedback boards can be a hassle. Moderating spam and responding to endless comment threads takes time away from building new features or focusing on marketing. I built Feedloop to solve this problem. It’s a tool designed to help you collect and track user/customer feedback internally within your team. No more wasting time on external platforms – streamline your feedback process and keep everything in-house. Check it out: https://www.getfeedloop.com I’d love to hear your thoughts! Victor
2024 · getfeedloop.com
- 21BG
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…
2023 · preview.steerlab.ai
- 22AG
I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai
Apr 2026 · aiaiai.guide
- 23MC
Hey everyone! Many of you might have come across the Mamba paper a few days ago, which introduced an LLM based on a state space model architecture. The Mamba architecture is quite useful as its complexity scales subquadratically with input length and is therefore way more efficient than transformer models: https://github.com/state-spaces/mamba I got really excited about the paper, so I decided to fine-tune the model on a chat dataset. It turns that this actually worked quite well! The model is quite suitable for casual chatting, which honestly surprised me given that it…
2023 · github.com
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Hey HN! I'm one of the cofounders of Sourcebot, an open source alternative to Sourcegraph. Sourcebot lets you index thousands of repos across multiple platforms (GitHub, GitLab, Bitbucket), and gives you a powerful interface to search across them. You can learn more in our original HN launch post: https://news.ycombinator.com/item?id=41711032 We just added an AI code review agent that reviews your PRs and automatically detects issues that a human reviewer may have missed. We've been using an AI code review agent for a few weeks now, and it regularly catches issues that we…
2025 · docs.sourcebot.dev
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