Why hanging out on Hacker News is a good use of your time?
Hey HN, This is a Show HN (poorly) disguised as an Ask HN. I'm launching https://www.parliant.ai, a survey tool that rethinks how surveys are created and answered. Instead of building forms, the survey creator just writes what they want to learn and AI takes it from there, chatting with respondents to get meaningful answers. To show how it works, I’ve created a short demo survey with the question in the title. The idea is for you to try it out and see the respondent experience, which is really the core of the innovation. I’d love to get your answers and your feedback. The survey is…
In plain words
Parliant is an AI-powered survey tool that simplifies survey creation and responses. Instead of building traditional forms, creators describe what they want to learn and the AI automatically generates conversational surveys that chat with respondents to gather meaningful answers. The tool is designed for researchers and businesses seeking more engaging survey experiences and deeper insights from participants through natural dialogue rather than static questionnaires.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, This is a Show HN (poorly) disguised as an Ask HN. I'm launching https://www.parliant.ai, a survey tool that rethinks how surveys are created and answered. Instead of building forms, the survey creator just writes what they want to learn and AI takes it from there, chatting with respondents to get meaningful answers. To show how it works, I’ve created a short demo survey with the question in the title. The idea is for you to try it out and see the respondent experience, which is really the core of the innovation. I’d love to get your answers and your feedback. The survey is open to the first 100 completed responses (or fewer, if too many people start it and I need to rein in LLM costs). I'll comment here the AI summary of the final result once it's done. Also, maybe an AI summary highlight of a response or two. If you like the UX, there’s a link in the header to the traditional landing page with more info.
Does the same job
all alternatives →- WSWeb search using a ChatGPT-like model that can cite its sources2022 · beta.sayhello.so · ▲318
We’ve trained a generative AI model to browse the web and answer questions/retrieve code snippets directly. Unlike ChatGPT, it has access to primary sources and is able to cite them when you hover over an answer (click on the text to go to the source being cited). We also show regular Bing results side-by-side with our AI answer. The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform. Giving the model web access lessens its burden to need to store a snapshot of human knowledge…

- IMI'm a teacher and built an AI presentation tool2025 · ▲260
Hi, I'm a high school teacher from Australia and I've built what I'd like to think is a pretty nifty ChatGPT powered presentation tool for teachers. I'd love it if you could have a look at it and give me some of your feedback. I don't think there's much overlap with the HN crowd and school teachers, but I've been coming here for many years and thought I'd post here and see what you all think. Check it out if you have a minute and I'd be super happy to hear your feedback too. https://www.slidehero.ai/ You can jump in and have a play with the tool all you like ;) Cheers, Eli



More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, May 2025
the whole month →
- C9
Life & fun · 2025 · felixrieseberg.github.io



