Gemini Executive Synthesis

Stillwind Search: A high-resolution search engine for electronic components. It leverages LLMs to extract over 130,000 properties into more than 1,000 schemas from a proprietary database. An AI agent (Sonnet 4.6) interactively queries this database to find parts based on complex specifications, with a separate model verifying data before display.

Technical Positioning

Solves the critical problem of time-consuming, tedious, and often ineffective electronic component search. Positions itself as a precise, time-saving solution that finds exact parts in minutes, not hours, for even the most complex specifications.

SaaS Insight & Market Implications

The electronic component sourcing market is inefficient, causing significant friction for engineers and PCB designers. Stillwind directly addresses this by transforming a manual, time-intensive process into an efficient, AI-driven query. Leveraging LLMs for deep property extraction and an AI agent for interactive search provides unprecedented precision and speed. The value proposition of finding parts in 'minutes, not hours' for complex specifications is compelling. For B2B, this translates to faster design cycles, reduced engineering overhead, and improved component selection accuracy for hardware companies. Future capabilities like searching combinations of parts further enhance its utility, positioning Stillwind as a critical tool for product development and supply chain optimization in the electronics industry.

Proprietary Technical Taxonomy

Raw Developer Origin & Technical Request

Hacker News Jun 12, 2026

Show HN: Stillwind – High Resolution Electronic Component Search

We’ve spent the last couple of months building Stillwind Search, a search engine for electronic components that helps users find parts that fit even the most complex set of specifications.After talking to the people that actually build PCBs we found out that finding the exact part you are looking for, is consuming enormous amounts of times, is very tedious and then often doesn’t yield the best results. So we tried to cut down this search time by just requiring a (broad) description of the specifications and we find the correct part in minutes, not hours.This is possible through our own database of parts and their properties. We used LLMs to extract every parameter about a part into >1k schemas, collectively covering more than 130k properties. This depth of properties could no longer be visualized, so the database is queried interactively by an AI agent (Sonnet 4.6) to find the needle in the haystack of parts. Before results are shown, we use another model to verify the data (that’s why it might take a moment before the first results appear).We currently have almost all microcontrollers, sensors, and other advanced ICs on the market, as well as a wide selection of passives and generic parts. We are working on adding more parts and are more than happy to take suggestions.I know that folks on HN like technical details on how this works, so let me give a short overview:
Frontend: SvelteKit + Cloudflare Workers + Hyperdrive
Backend: PostgreSQL 18 (with io_uring) database, with extensions on NVMe drives hosted on a beefy server.We appreciate all feedback and are happy to answer any questions :)Btw: We are already working on a way that you can search combinations of parts, finding the optimal combination of parts.

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Frequently Asked Questions

Market intelligence mapped to Stillwind Search: A high-resolution search engine for electronic components. It leverages LLMs to extract over 130,000 properties into more than 1,000 schemas from a proprietary database. An AI agent (Sonnet 4.6) interactively queries this database to find parts based on complex specifications, with a separate model verifying data before display..

What problem does Stillwind Search: A high-resolution search engine for electronic components. It leverages LLMs to extract over 130,000 properties into more than 1,000 schemas from a proprietary database. An AI agent (Sonnet 4.6) interactively queries this database to find parts based on complex specifications, with a separate model verifying data before display. solve?

Based on our AI analysis of the original developer request, its primary technical positioning is: Solves the critical problem of time-consuming, tedious, and often ineffective electronic component search. Positions itself as a precise, time-saving solution that finds exact parts in minutes, not hours, for even the most complex specifications.

What are the foundational technologies related to Stillwind Search: A high-resolution search engine for electronic components. It leverages LLMs to extract over 130,000 properties into more than 1,000 schemas from a proprietary database. An AI agent (Sonnet 4.6) interactively queries this database to find parts based on complex specifications, with a separate model verifying data before display.?

Our proprietary extraction maps Stillwind Search: A high-resolution search engine for electronic components. It leverages LLMs to extract over 130,000 properties into more than 1,000 schemas from a proprietary database. An AI agent (Sonnet 4.6) interactively queries this database to find parts based on complex specifications, with a separate model verifying data before display. to adjacent architectural concepts including electronic components, PCBs, LLMs, extract every parameter.

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