Go to section
Sponsor
GitLab Transcend - Intelligent orchestration
Large language models
Featured matches
-

-

-
Enable LLMs to search and analyze live social media through natural language.Open
Ido Avnir🙏 4 karmaJan 14, 2026@Xpoz MCPSimple idea, well executed. Makes social data usable inside LLM-based workflows instead of external dashboards -

Verified tools
-
It's accurate, it's fast, it's honest, it's free without sign-up.
-
Using Thesys has been a game-changer for us. We can now ship AI features with interactive UIs in a fraction of the time it used to take. It’s simple to use and saves us so much effort.
-
Hi there everyone! You might know us if you're familiar in the open-source space, but at Unsloth we do a lot of things. Mainly we help you fine-tune LLMs locally and help you run LLMs more efficiently and accurately. All of this is 100% local and of course open-source. We DO NOT have paid plans currently and everything is free and open-source. We also have a sub Reddit r/unsloth and very active Discord server so if you have any questions please do ask! Thank you! :)
- Sponsor
GitLab Transcend - Intelligent orchestration
Other tools
-
Claude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
-
-
A huge disappointment. It fails standard tasks that Sonnet 3.5 completes with no issue. I’ll be skipping this version.
-
I am the founder of Heimdall and everything in this description about the product is incorrect.
-
-

