nowfound

Alternatives

Products that do what Mimir Systems does

Research Q&A for materials science

  1. 1

    The research answer tool that can't fake a citation

    Jun 2026 · mimirsystems.ai

  2. 2

    Product Hunt for UX research

    2014

  3. 3RV

    Hi HN! We're building R2R [https://github.com/SciPhi-AI/R2R], an open source RAG answer engine that is built on top of Postgres+Neo4j. The best way to get started is with the docs - https://r2r-docs.sciphi.ai/introduction. This is a major update from our V1 which we have spent the last 3 months intensely building after getting a ton of great feedback from our first Show HN (https://news.ycombinator.com/item?id=39510874). We changed our focus to building a RAG engine instead of a framework, because this is what developers asked for the most.…

    2024 · github.com

  4. 4
    Ribbon127

    Fast, quality user insights with targeted product research

    2022

  5. 5

    Make customer research a part of every product release

    2021

  6. 6

    You can add great-looking research docs next to your designs

    2021

  7. 7
    Qudos145

    Product Hunt for dev tools

    2015

  8. 8

    Find Stanford contractors for software projects, on-demand

    2014

  9. 9
    Openbeta104

    help betaworks test products early

    2013

  10. 10
    BetaList232

    Discover tomorrow's startups, today.

    2014

  11. 11

    Product Hunt for tutorials.

    2015

  12. 12

    Codecademy for Data Science

    2015

  13. 13

    A place to get a great beta tester

    2017

  14. 14
    Qualaroo141

    Simplify user research. Design products people love.

    2014

  15. 15

    Early adopters network for your Startup

    2015

  16. 16RO

    Hello HN, I'm Owen from SciPhi (https://www.sciphi.ai/), a startup working on simplifying˛Retrieval-Augmented Generation (RAG). Today we’re excited to share R2R (https://github.com/SciPhi-AI/R2R), an open-source framework that makes it simpler to develop and deploy production-grade RAG systems. Just a quick reminder: RAG helps Large Language Models (LLMs) use current information and specific knowledge. For example, it allows a programming assistant to use your latest documents to answer questions. The idea is to gather all the relevant information…

    2024 · github.com

  17. 17
    Answer105

    Build Q&A community with Answer

    2022

  18. 18
    Verify120

    Test out ideas before you implement them.

    2015

  19. 19

    Discover trending and popular React libraries and projects

    2023

  20. 20
    BetaTesta167

    Pairing makers with testers

    2017

  21. 21
    Mimir7

    AI-native reading companion that builds your knowledge

    Jan 2026

  22. 22

    Empower everyone on your team to conduct great research

    2022

  23. 23

    Products worth getting

    2015

  24. 24
    FaqFox94

    Find the questions your target audience is talking about

    2014

Ranked by how close each launch is in meaning, then by votes. Refine with a description →