JigsawStack
AI-nativeModels for high accuracy tasks
jigsawstack.com Source★ 94Apache-2.0AI Models & Agents / Model APIs & Gateways
- Monthly visits
- 5.8K
- Down47.2%MoMSep 2026
- Public revenue
- Undisclosed
- No public revenue evidence yet
- Entry price
- $27/mo
- Higher than 78% of peersNiche median $10/mo
- Creators
- Angel Pichardo
- No social account linkedCo-created with Harsha Vardhan Khurdula, Interfaze (YC P26) +2 more
- Launched
- 2y ago
- 2024-03-10 · Est.
Traffic
Marketing moves
Launches, search & content, referrals, promotions- What we see coming into the office everyday
@yoeven · 2026-11-11 · 21 likes · 0 reposts · 545 views
Launched on Show HN (3 pts)Launch
Yoslm -- You Only Need a Smoll Language Model for Object Detection
Jul 11, 2025 · 16mo agoLaunch page
Launched on Show HN (7 pts)Launch
Deep Research – Open-Source Customizable Reasoning Framework for Devs — The first ever AI peer reviewed research article just got approved. It’s kinda crazy how advanced AI have come to replace researchers. I'v…
Jun 1, 2025 · 18mo agoLaunch page
Launched on Show HN (5 pts · 2 comments)Launch
Image-to-Image Translation Model — We launched a v1 of a image to image translation API which translates the text on an images by replacing the existing text. For v1, it's p…
May 28, 2025 · 18mo agoLaunch page
Launched on Product HuntLaunch
Custom AI models that scale with your stack
Apr 21, 2025 · 19mo agoLaunch page
Launched on Show HN (4 pts · 4 comments)Launch
We are 2.4x faster than Open AI latest SST model — Speech-to-Text technology is crucial for audio processing applications, but most solutions are limited by speed, accuracy, or feature cons…
Mar 21, 2025 · 20mo agoLaunch page
Third-party reviews & case dossiers
Acquisition breakdowns, engineer reviews & open-source metrics- Post excerpt:
- When Chrome released `window.ai` for their local model, Gemini Nano, I got excited! Not for the local model which you can't really do much with but more for the new way of interacting with AI utilities directly from the front end. I loved the simplicity and the ease of use but not so much the capabilities and limitations. I wanted to see if we could expand t
- Post excerpt:
- Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency o
- Post excerpt:
- Most TTS models today have a fixed set of voices that are tied to a fixed set of languages. We built a trained TTS model with the concept of accents like we have in real life. You can have a Chinese person speaking English or a German person speaking French. Hints of their accents from their original language can be heard when they speak another language. We
- Post excerpt:
- 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
- Post excerpt:
- LLMs are evolving fast—DeepSeek R1 is one of the latest making waves. But beyond the hype, how can it actually improve AI applications? At JigsawStack, we’re testing how DeepSeek R1 can enhance: - Synthetic Data Generation: Creating high-quality, reasoning-based datasets for fine-tuning. - Inference Optimization: Evaluating trade-offs between full-scale and
- Post excerpt:
- Speech-to-Text technology is crucial for audio processing applications, but most solutions are limited by speed, accuracy, or feature constraints. What if you could transcribe audio with higher accuracy, better features, and significantly faster performance? We benchmarked OpenAI's newest gpt-4o-transcribe model against JigsawStack STT across real-world scen
- Post excerpt:
- We launched a v1 of a image to image translation API which translates the text on an images by replacing the existing text. For v1, it's pretty much a model pipeline: OCR current text -> generate mask -> erase text -> translate text -> use embedding comparison to find similar font -> map text back on image v1 was more like a prototype which already beats man
- Post excerpt:
- The first ever AI peer reviewed research article just got approved. It’s kinda crazy how advanced AI have come to replace researchers. I've just been using Deep Research on ChatGPT and Perplexity a lot to write and research complex technical reports for my boss. He loves the reports and it has decreased my workload a ton but I still have some frustrations wi
Open Source & Agent Ecosystem
- GitHub Stars
- ★ 94
- Forks
- 18
- License
- Apache-2.0
- Primary language
- JavaScript
- Exposed tool capabilities:
- Web Search APIObject detectionWeb searchWeb scrapingClassificationAutomatic scale
Traffic sources
Traffic breakdown
Channels
- Direct39%
- Organic Search33%
- Referrals10%
- Social6%
- Other12%
Countries
- United States80%
- India20%
Search
Domain authority —Domain registered 2023-05-04
| Keyword | Monthly volume |
|---|---|
| translate image | 49.8K |
| image translator | 45.1K |
| image translate | 22.8K |
| image translate to english | 11.8K |
| picture translate | 4,910 |
Traffic data: Vaneform
Pricing
Trial: None · Free tier included · 1 paid tier ($27) · Enterprise custom tier · Observed 2026-11-04 · Pricing page
Entry price $27/mo, Higher than 78% of peers; “Model APIs & Gateways” median is $10/mo.View pricing benchmark
Pages & changes
Key pages
Weekly snapshotsChanges
Design
Dark Developer (Dark canvas, balanced density) featuring hero bento grid layout and pure typography & geometry visuals.
First-screen preview · click to zoom
First-screen pitch & conversion flow
“Models for high accuracy tasks”
Hero Bento Grid hero structure paired with start free / sign up CTA and no explicit trust bar.
Conversion path: Hero Bento Grid + Pure Typography & Geometry → Start Free / Sign Up
- Category Positioning Anchor
- Bento Grid
Palette · click to copy
- Typography
- 8.0
- Color & Contrast
- 8.0
- Layout & Spacing
- 8.0
- Craft & Polish
- 7.0
- Distinctiveness
- 7.0
Structure
- Fonts
- Instrument Serif / Inter
- Hero layout
- Hero Bento Grid
- Primary visual
- Pure Typography & Geometry
- Conversion CTA
- Start Free / Sign Up
- Social proof
- No Explicit Trust Bar
- Navigation
- Full-Width Top Bar
- Theme & density
- Dark · Balanced
- Corners & depth
- Medium Radius · Hairline borders
Preview full AI design brief (includes :root CSS variables & layout rules)Style tokens only; never copy brand names, logos, copy, or images
# Design Brief: Dark Developer (with Gradient Glow)
Deep dark surfaces, monospace typography, terminal/code snippets, and high-precision borders.
## Design Tokens
```css
:root {
--background: #151515;
--surface: #191715;
--foreground: #f4f2f0;
--muted-foreground: #b9bbc3;
--accent: #f0443e;
--radius: 8px;
--font-heading: "Instrument Serif", serif;
--font-body: "Inter", ui-sans-serif, system-ui, sans-serif;
}
```
Color area ratio: Background #151515 (~68%) · Surface #191715 (~14%) · Text #F4F2F0 (~8%) · Muted Text #B9BBC3 (~7%) · Accent #F0443E (~3%). Background and surface dominate the canvas; reserve the accent color for primary buttons and active states.
## Layout & Conversion Structure
- Hero layout: Hero Bento Grid
- Navigation: Full-Width Top Bar
- Theme & density: Dark · Balanced
- Border radius & elevation: Medium Radius; no drop shadows—separate layers with hairline borders and whitespace
- Primary visual medium: Pure Typography & Geometry
- Conversion CTA: Start Free / Sign Up
- Headline hook: Category Positioning Anchor
- Hero components: Bento Grid
- Spatial layout notes: Hero Bento Grid hero structure paired with start free / sign up CTA and no explicit trust bar.
- Visual summary: Dark Developer (Dark canvas, balanced density) featuring hero bento grid layout and pure typography & geometry visuals.
## Avoid
- Warm pastel backgrounds
- Playful cartoon illustrations
- Oversized pill buttons everywhere
Implement the UI following the design tokens and layout specifications above: use only these color variables, and reserve the accent color strictly for primary actions and active states. Adopt only this visual style—never copy any reference product’s brand name, logo, copy, or imagery.
Questions & evidence
- How much does JigsawStack cost?
- Free: Free; Pro: $27/mo; Enterprise: Contact sales. Observed 2026-11-04. Check the source for current billing terms, usage limits and taxes.Source
- How much website traffic does JigsawStack get?
- Vaneform estimates 5.8K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
- What is JigsawStack and what platforms does it support?
- JigsawStack is catalogued under Model APIs & Gateways: Models for high accuracy tasks. Supported platforms: CLI / SDK, API.
- Is JigsawStack open source?
- JigsawStack has a public repository (https://github.com/JigsawStack/deep-research) under the Apache-2.0 license, recording 94 GitHub stars.Source
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