Loompa

What it does

Every subreddit hides goldmines of "I wish someone built X" — buried under memes and 312-comment threads. Loompa scans them for you, filters the noise, and surfaces the pain points people are actually paying to solve. Each idea is GPT-scored 0–10 on demand, willingness to pay, and buildability — with links back to the source threads as proof. Stop guessing what to build. Start shipping the SaaS Reddit is begging for.

• 1R
  12K Reddit posts scraped and AI-scored for startup ideasNov 2025 · search.reddit-business-ideas.workers.dev · ▲5

  I wanted to find a product idea to build. "Build things people want," right? So I thought, why not literally find people saying what they want? I wrote a script to collect thousands of Reddit posts where people are looking for a solution or complaining about a problem. Then I used GPT to filter out the noise and score each one based on how viable the idea seemed. Threw together a simple search interface so anyone can explore them. I was planning to build a more advanced paid version of this, but figured I'd share the raw version first to see if it's actually useful to anyone.

• KS
  Kill SaaS with Open Source2025 · kill-saas.com · ▲5

  KillSaaS is my answer to subscription software in the AI era. I'm building this because I believe small teams can use modern AI tools to create free alternatives to giants like Figma and DocuSign in weeks, not years. We're creating a platform where developers vote on which SaaS to replace, then build it together as open source. wdyt?

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  IdeateHubJun 2026 · ideatehub.net · ▲2

  AI teardowns of real SaaS — find the wedge, not the clone

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  Funded Or FuckedApr 2026 · fundedorfucked.com · ▲1

  Post your idea. Take the vote. Survive.

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  ProblemRadar — Find Startup IdeasMar 2026 · ▲2

  Stop guessing. Let Reddit tell you what to build.

• IB
  I built a free AI tool that picks your SaaS tech stack based on budgetFeb 2026 · appstackbuilder.com · ▲6

  Hey HN, I kept seeing the same question asked over and over in startup communities: "What tech stack should I use for my SaaS?" The answers were always scattered, opinionated, and never accounted for budget or team size. So I built appstackbuilder.com — you tell it your monthly budget, app type, team size, and skill level, and it recommends a full stack (auth, database, hosting, payments, analytics, etc.) with actual pricing for each tool. A few things that make it different from generic advice: - It accounts for team size when calculating costs (e.g. Clerk charges per user, Linear charges…

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  I trained a 125M model to autocomplete piano on-device▲598

  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

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  Astute▲585

  Automate your B2B brand going viral, with new media creators

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

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  Grok Bot▲547

  AI teammates that you can give real work to

  AI · 25d ago · x.ai

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  Needle2: 14MB agentic LLM for phones, wearables, smart home and robots▲537

  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

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  Monid▲474

  OpenRouter for agent tools

  AI · 6d ago · monid.ai

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  Clara AI SDR▲460

  Turn website visitors into qualified pipeline

  AI · 19d ago · clarasdr.ai

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  Brew ▲905

  Like Claude design for email marketing

  AI · May 2026 · brew.new

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  Kilo Code for VS Code▲897

  Parallel agents, diff reviewer, and multi-model comparisons

  Dev tools · May 2026 · kilo.ai

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  StoreClaw▲805

  Grow your store profits with agents that know how to sell

  AI · May 2026 · storeclaw.ai

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  PollyReach▲796

  Give your agent a real number and voice to make calls.

  AI · May 2026 · pollyreach.ai

• NW
  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

• FM
  Files.md – Open-source alternative to Obsidian▲730

  Dev tools · May 2026 · github.com