JigsawStack v3

What it does

JigsawStack provides specialized AI infrastructure that automates backend development so you can ship products faster. Our custom, small models handle tasks like OCR, text-to-speech, embedding, and scraping, reducing costs and complexity.

Custom small models trained for specialized use cases powered by scalable infrastructure

LLMs requires humans to verify their outputs. We fixed this with specialized models for deterministic tasks like OCR, object detection, web search, STT and more Introducing the world's most deterministic model built on a new architecture and built on JigsawStack's infrastructure. Suite of small models specialized for specific tasks. The underlying infrastructure used in Interfaze. JigsawStack's AI models are organized into three key categories. Data Extraction, Transformation, and Validation. Real-time logs and analytics. Debug errors, track users, location maps, sessions, countries, IPs and 30+ data points Secure and private instance for your data. Fine grained access control on APIfrom jigsawstack.com

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  JigsawStack2024 · jigsawstack.com · ▲53

  AI APIs for every tech stack

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  Open-Source MCP Server for Context and AI Tools2025 · ▲43

  Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…

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  Tabstack – Browser infrastructure for AI agents (by Mozilla)Jan 2026 · ▲130

  Hi HN, My team and I are building Tabstack to handle the "web layer" for AI agents. Launch Post: https://tabstack.ai/blog/intro-browsing-infrastructure-ai-ag... Maintaining a complex infrastructure stack for web browsing is one of the biggest bottlenecks in building reliable agents. You start with a simple fetch, but quickly end up managing a complex stack of proxies, handling client-side hydration, and debugging brittle selectors. and writing custom parsing logic for every site. Tabstack is an API that abstracts that infrastructure. You send a URL and an intent; we…

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  Potpie AI2025 · github.com · ▲350

  Create custom AI agents for your code

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  I Built an Open Source API with Insanely Fast Whisper and Fly GPUs2024 · github.com · ▲13

  Hi HN! Since the launch of JigsawStack.com, we've been trying to dive deeper into fully managed AI APIs built and fine tuned for specific use cases. Audio/video transcription was one of the more basic things and we wanted the best open source model at this point it is OpenAI's whisper large v3 model based on the number of languages it supports and its accuracy. The thing is, the model is huge and requires tons of GPU power for it to run efficiently at scale. Even OpenAI doesn't provide an API for their best transcription model while only providing whisper v2 at a pretty high price. I…

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  3D printing giant things with a Python jigsaw generator2025 · calbryant.uk · ▲179

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  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 17d ago · spira.ai

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  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 17d ago · rill.love

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  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 18d 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 · 20d ago · stillwet.art

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  Onepin▲384

  AI voiceover with every name, price and date said right

  AI · 30d ago · onepin.ai

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  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 28d ago · world.pixverse.video

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  I built a hardware processor that runs Python▲983

  Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

  Dev tools · 2025 · runpyxl.com

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  Unsure Calculator – back-of-a-napkin probabilistic calculator▲930

  The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.

  Life & fun · 2025 · filiph.github.io

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  I built an AI that turns GitHub codebases into easy tutorials▲923

  https://the-pocket.github.io/Tutorial-Codebase-Knowledge/

  AI · 2025 · github.com

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  Whatting▲898

  The iPad diary, just for you

  Work · 2025 · whatting.com

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  Strawberry▲859

  Browser with AI companions that automate web tasks

  AI · 2025 · strawberrybrowser.com

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  Peek▲828

  AI personal finance coach that guides you through decisions

  Work · 2025 · peek.money