ThumbsUp

What it does

Collect user feedback, unravel sentiments, identify trends, and unlock invaluable AI-driven suggestions.

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  ThumbsUp2024 · ▲7

  Build better products with user feedback

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  Feedback.2024 · ▲131

  The AI powered navigator for customer sentiment analysis

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  Survicate AI2024 · web.survicate.com · ▲164

  Collect and analyze user feedback faster with AI

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  Talk to Users2014 · ▲128

  Point and click annotated feedback (w/ just 1 line of code)

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  userinput.io2016 · userinput.io · ▲240

  Get on-demand user feedback for your projects

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  UserWise2023 · ▲296

  Gain insights from feedback to make data-driven decisions

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  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 19d ago · spira.ai

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  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 18d ago · rill.love

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  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 20d ago · tej.as

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  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 22d ago · stillwet.art

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  Beam.win▲378

  Run AI agents on one Mac and use its windows on another

  AI · 5d ago · beam.win

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  FastRouter.ai▲364

  Route requests to the right LLM for cost, latency & quality

  AI · 23d ago · fastrouter.ai

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  Resend▲1,325

  An entire collection of pre-built components with a much faster development experience.

  Dev tools · 2023 · resend.com

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  STORI AI▲1,316

  Your ideas become visually compelling branded social posts

  AI · 2023 · storiai.com

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  Kombai▲1,079

  A new AI model that you can prompt with UI designs

  AI · 2023 · kombai.com

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  User Persona Generator▲1,014

  Understand your audience without 50 interviews

  AI · 2023 · founderpal.ai

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  Lottielab▲869

  Create and ship lottie animations to sites and apps faster

  Dev tools · 2023 · lottielab.com

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  LLMs can generate valid JSON 100% of the time▲854

  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