nowfound

AI · August 18, 2023

AL

Askmore – Let an AI run user interviews on your behalf

Hi HN, We're Arindam and Julien and we're building AskMore.ai. AskMore uses an AI to run user interviews on your behalf. We like to think about it as a new user research method that sits between traditional user interviews and user surveys: It's as easy as sending a survey link but the AI will adapt to the user answers, follow up and dig deeper to provide you with insights as deep as what you'd get in a user interview. We got the idea after a lot of struggles to get feedback on our other side projects. We couldn't get many user interviews (low response rate, long delays to schedule calls),…

In plain words

Askmore is an AI-powered user research tool that conducts interviews automatically on behalf of product makers. Users create a research prompt and share a link; the AI adapts its questions based on responses, follows up for clarification, and provides insights comparable to traditional interviews. It targets product developers and researchers seeking faster feedback than scheduling calls allows, while gathering deeper insights than standard surveys. The tool delivers results in days rather than weeks.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN, We're Arindam and Julien and we're building AskMore.ai. AskMore uses an AI to run user interviews on your behalf. We like to think about it as a new user research method that sits between traditional user interviews and user surveys: It's as easy as sending a survey link but the AI will adapt to the user answers, follow up and dig deeper to provide you with insights as deep as what you'd get in a user interview. We got the idea after a lot of struggles to get feedback on our other side projects. We couldn't get many user interviews (low response rate, long delays to schedule calls), and surveys were providing answers that were too shallow. We have a few people running interviews on AskMore and the main benefits we're seeing are: - You can get feedback way faster than if you had to schedule calls (for instance we got more than 40 answers to our own interview in just a few days). - It works in any language so you can interview users you couldn't hear before. - It's more lightweight for the participant so you get a better response rate and it can even be a good first step that can unlock a call. - The AI follows user research best practices (we've been particularly inspired by The Mom Test, but you can override everything) so you don't need to know how to ask the right questions. In fact, I've been amazed multiple times by how the AI would adapt to the conversation and find insights I wouldn't have been able to find myself if I had been conducting the interview. Something important is that we don't think this should replace traditional interviews. It's still super important to connect directly with your users. But this could be a good complement to get more feedback, or to help making the first step. It's super early and rough, but it works and we're eager to get more feedback and to see how it behaves on more use cases. Feel free to give it a try (message us on our Intercom, we can provide more free credits) or just share your thoughts on the concept. Thanks!

Does the same job

all alternatives →
  • AnswerTime2024 · ▲82

    Quick, effective user research, powered by AI

  • My AskAI2023 · ▲188

    AI customer support that'll help you grow your SaaS product

  • Wondering2023 · ▲118

    Build the right thing with AI-powered user interviews

  • RhetorAI2023 · ▲129

    AI User Interviews to gather actionable feedback 24/7

  • AskAI2023 · ▲240

    Your own AI Q&A, with your content, shared anywhere

  • Askiva AIApr 2026 · ▲74

    Your autonomous AI user researcher

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.

    AI · 17d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • 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

  • Turn website visitors into qualified pipeline

    AI · 19d ago · clarasdr.ai

  • Kane CLI446

    Natural language browser & mobile app tests from terminal

    AI · 24d ago · testmuai.com

Launched alongside, August 2023

the whole month →
  • Resend1,326

    Email for developers

    Dev tools · 2023 · resend.com

  • STORI AI1,320

    Your ideas become visually compelling branded social posts

    AI · 2023 · storiai.com

  • Kombai1,080

    A new AI model that you can prompt with UI designs

    AI · 2023 · kombai.com

  • Understand your audience without 50 interviews

    AI · 2023 · founderpal.ai

  • Lottielab871

    Create and ship lottie animations to sites and apps faster

    Dev tools · 2023 · lottielab.com

  • LC

    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…

    AI · 2023 · github.com