AI · alternatives · 2026

24 alternatives to Sweephy
No code data-driven decisions - all insight, pure value
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Sweephy launched in 2023; newer entries below may have overtaken it.
- 1

Hey HN, we trained and open-sourced a 1.5B model that predicts your next edits, similar to Cursor. You can download the weights here (https://huggingface.co/sweepai/sweep-next-edit-1.5b) or try it in our JetBrains plugin (https://plugins.jetbrains.com/plugin/26860-sweep-ai-autocomp...). Next-edit autocomplete differs from standard autocomplete by using your recent edits as context when predicting completions. The model is small enough to run locally while outperforming models 4x its size on both speed and accuracy. We tested against Mercury…
Jan 2026 · huggingface.co · its alternatives →
- 2

- 3
Sweep AI▲161AI coding assistant in IntelliJ, PyCharm, and JetBrains IDEs
2025 · docs.sweep.dev · its alternatives →
- 4

- 5
Opper AI▲229Hey HN! After the Car Wash Test post got quite a big discussion going (400+ comments, https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use. You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model. You can also run a debate round where models see each other's reasoning and get a…
Jul 2026 · opper.ai · its alternatives →
- 6EF
I’ve been building Echo (https://echo.tracerml.ai/), an experiment in making one AI system out of a pool of open-weight models rather than choosing a single model and using it for every task. It started with a simple experiment. I took a group of models, including GLM-5.2, Kimi K2.7 and others, and ran them on the same evaluations. Then I measured what would happen if, for each problem, you somehow knew in advance which models would be useful and how their outputs should be combined. That hypothetical system performed substantially better than any individual model in the pool.…
Jul 2026 · its alternatives →
- 7

Build AI models and get predictions, no code required
2023 · mentana.ai · its alternatives →
- 8
Clevrr Computer▲195Computer use but with OpenAI and Gemini models
2024 · github.com · its alternatives →
- 9
Zoo▲234A free, open-source playground for AI image models
2023 · zoo.replicate.dev · its alternatives →
- 10
Ithy AI▲167This is another one of my automate-my-life projects - I'm constantly asking the same question to different AIs since there's always the hope of getting a better answer somewhere else. Maybe ChatGPT's answer is too short, so I ask Perplexity. But I realize that's hallucinated, so I try Gemini. That answer sounds right, but I cross-reference with Claude just to make sure. This doesn't really apply to math/coding (where o1 or Gemini can probably one-shot an excellent response), but more to online search, where information is more fluid and there's no "right" search engine + text…
2025 · ithy.com · its alternatives →
- 11

- 12
Finyuus▲81A code-first language for durable, governed AI workflows
Aug 2026 · github.com · its alternatives →
- 13

- 14OS
- 15
Synapis▲126Build & deploy AI models online – no code or hardware needed
2025 · synapis.io · its alternatives →
- 16

Product analytics for AI applications
2023 · tidepool.so · its alternatives →
- 17

- 18

Ask questions about your data in plain english
2023 · movinglake.com · its alternatives →
- 19

- 20

The best AI tutor. Learn 10x faster than with ChatGPT
2025 · sweepiq.com · its alternatives →
- 21

An open-source language translation system for 200 languages
2022 · github.com · its alternatives →
- 22

Unlock the power of AI with no-code machine learning
2022 · graphite-note.com · its alternatives →
- 23

Hi HN, we recently built and open sourced Sweep, an AI powered junior developer. Kevin, Luke, and I were tired of handling tech debt when we knew LLMs could do this for us. Sweep solves small features, bugs, and missing documentation by writing pull requests. This allows you to review and validate the code before pushing it to your codebase. Features: - Turns issue descriptions directly into pull requests (without an IDE) - Addresses developer replies & comments - Fixes the code based on failing tests & linters from GitHub Actions Examples: https://docs.sweep.dev/examples…
2023 · github.com · its alternatives →
- 24

The best AI tools in one curated directory
2025 · listyourtool.com · its alternatives →
Also compare
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 →