
AppMaker - V1.0
Make apps with one sentence. Deploy them with one click.
What it does
This one is free. User provides api keys from free tier providers. Prompts, keys, or any PII is never sent to us. Only between the user and the AI provider they choose. No vendor lockin. Projects can be imported and exported in multiple formats. 20 variants of the same engine. Research, plan, build doesn't just work for apps- there are 20 variants that use the same engine to give other professional/creative output. It's all included. Gets better over time, active failure log.
Does a similar job
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- OPOne prompt generates an app with its own databaseSep 2025 · manyminiapps.com · ▲82
Hey HN, manyminiapps is the world first massively multiplayer online mini app builder (MMOMA) *Here’s what it does:* You load the page. You write 1 prompt and you get a mini app back in under 2 minutes. There’s no sign up, and you can see what everyone’s creating in real-time! Each mini app comes with it’s own database and backend, so you can build shareable apps that save data. *What’s different* There are a lot of app builders that promise you’ll build production software for others. But we think true production software can take a long time to get right. Even if you don’t need to program…
Prompt Builder – Free Templates11d ago · promptbuilder.space · ▲21Hi HN, I built Prompt Builder (https://www.promptbuilder.space/) because I was frustrated managing complex AI prompts in plain text boxes. The core idea: instead of one giant textarea, you compose prompts from draggable, reorderable blocks. Each block can have its own XML/custom tags, visibility toggles (so you can A/B test sections), and duplicates. Key technical details: - Live compiled preview: the right pane shows the exact string being sent, updating as you drag/toggle blocks - Dynamic variables: define {{var_name}} once, use across blocks, change in one…
- PAPrompt Apps – Ready-to-Use Generative AI Apps from Prompt2023 · chatgpt-prompt-apps.com · ▲16
Even if you're not a Prompt whiz, you can still get top-notch results just like the pros. This Product will handle internally handle boring And Cognitively demanding prompt Engineering. Just pick a service, fill in the keywords, and get the desired result! Open Source , Free , Privacy Friendly , Crowd Source Prompts, No Login Required. You can submit Features(https://prompt-apps.canny.io/feature-requests?sort=top) and Prompts (https://prompt-apps.canny.io/prompt-conversion?sort=top)
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 · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com


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 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
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
Dev tools · May 2026 · github.com