AI · alternatives · 2026

24 alternatives to Simon
AI search: data + a postgres instance + 10 lines of code.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Simon launched in 2023; newer entries below may have overtaken it.
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postgres.new▲776The in-browser Postgres sandbox with AI assistance
2024 · database.build · its alternatives →
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Meilisearch AI▲241Boost relevance and UX with fast hybrid and semantic search
2025 · meilisearch.com · its alternatives →
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Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too. The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our…
Mar 2026 · github.com · its alternatives →
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Devv.AI▲457Developer-centric AI search, augmented by code and docs
2024 · devv.ai · its alternatives →
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SeekAll▲421Search across multiple platforms in one tab, even AI & YT
2024 · chromewebstore.google.com · its alternatives →
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Simpl.▲335A pleasant Postgres browser for working with real data
Jan 2026 · simpl.sh · its alternatives →
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Hello HN crowd, I would love to show you open source project I've been working on for the last year or bit more, SIMON (https://github.com/genular/simon-frontend) In short, it is an autoML platform, with a primary goal to be used as a knowledge discovery application. This is an initial release of it so you can consider it as heavy beta :) You can check it and read more about it on the project GitHub page, or on the official website (https://genular.org) If you wish you can check screenshots of the SIMON here…
2019 · its alternatives →
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Our most accurate Search API for AI agents.
Jul 2026 · docs.firecrawl.dev · its alternatives →
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The AI that knows your Postgres database
2024 · chat-with-your-database.vercel.app · its alternatives →
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SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.
2025 · github.com · its alternatives →
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Hey HN! We're Phil and Ming, co-founders of Retake (https://github.com/getretake/retake). Retake is an open source tool that adds keyword and semantic (i.e hybrid) search to databases. We’ve started by extending the capabilities of Postgres with an SDK for lightning-fast queries. We built Retake to fix two issues: keeping vectors in sync with Postgres in real time is difficult, and most vector databases aren’t built for hybrid search. A quick refresher: “keyword search” refers to a technique where results are scored based on the appearance of exact words or terms.…
2023 · github.com · its alternatives →
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2020 · github.com · its alternatives →
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Hey HN! We're excited to share our new open-source project, Marvin. Marvin is a high-level library for building AI-powered software. We developed it to address the challenges of integrating LLMs into more traditional applications. One of the biggest issues is the fact that LLMs only deal with strings (and conversational strings at that), so using them to process structured data is especially difficult. Marvin introduces a new concept called AI Functions. These look and feel just like regular Python functions: you provide typed inputs, outputs, and docstrings. However, instead of relying on…
2023 · github.com · its alternatives →
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Seeknal▲57Data & AI/ML CLI for pipelines and NL queries
Apr 2026 · seeknal.exe.xyz · its alternatives →
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Hey HN! We’re Emma and Chris, founders of Velvet (https://www.usevelvet.com). Velvet proxies OpenAI calls and stores the requests and responses in your PostgreSQL database. That way, you can analyze logs with SQL (instead of a clunky UI). You can also set headers to add caching and metadata (for analysis). Backstory: We started by building some more general AI data tools (like a text-to-SQL editor). We were frustrated by the lack of basic LLM infrastructure, so ended up pivoting to focus on the tooling we wanted. So many existing apps, like Helicone, were hard to use as power…
2024 · usevelvet.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →