Alternatives

Products that do what Sunlight, use an LLM to debias your content does

1. 1AA
   An API that catches what your LLM confidently got wrong▲5

   Apr 2026 · enterprise.factagora.com

2. 2AT
   A tool to properly observe your LLM's context window▲8

   Oct 2025 · blog.nilenso.com

3. 3SC
   Sidenote – comment on your rendered blog, an LLM writes the Git diff▲9

   Jul 2026 · github.com

4. 4IM
   I made a tool to ditch paying $20/month LLM subscriptions▲7

   2024 · tryblend.ai

5. 5AM
   An MCP that allows you break LLM's context limit▲5

   Sep 2025 · github.com

6. 6IL
   Integrate LLM in Your Shell▲7

   2025 · github.com

7. 7FL
   FortunaMCP – LLMs suck at randomness. I fixed it▲7

   2025 · github.com

8. 8CU
   Content underload▲23

   2013 · delight.so

9. 9AO
   An open-source app to easily interact with your LLM▲5

   2024 · orac-interface.vercel.app

10. 10LC
    Long context window for LLMs▲6

    2024 · colab.research.google.com

11. 11CO
    Criticize our website▲11

    2014 · qawba.com

12. 12LF
    LLM fine-tuning without infra or ML expertise▲5

    Jan 2026 · tinytune.xyz

13. 13HC
    HighSNR – Cut length and noise from your LLM context▲6

    Mar 2026 · high-snr.com

14. 14LA
    LLMs as Planners, Not Reasoners▲7

    Apr 2026 · github.com

15. 15SH
    Self hosting a modern LLM stack▲5

    Jun 2026 · github.com

16. 16MF
    Marketplace for lawyer guided LLM-powered contract review▲6

    2024 · screens.ai

17. 17LC
    LLM Code Interpreter▲6

    2023 · github.com

18. 18IM
    I made an interactive LLM Tools guide▲7

    So hard to keep up with tooling and MLOps - I put it all in one place and got some tips from an experienced friend on what to use.

    2025 · readyforagents.com

19. 19LC
    LLM custom instruction to maximise honesty logic, decrease sycophancy▲6

    I use the following custom instruction to maximise honest, accurate, factual responses and decrease sycophancy in LLMs that support custom instructions. Below I have provided instructions on how to achieve this in Gemini and ChatGPT. Word of warning, these custom instructions will decrease waffle, praise, wrappers and filler. But they will remove all warmth and engagement. The output can become quite ruthless. For ChatGPT 1. Visit https://chatgpt.com/ 2. Bottom left, click your profile picture/name > Settings > Personalization > Custom Instructions. 3. What traits should…

    2025

20. 20LW
    LLM wrapped around stocks and crypto▲5

    Sep 2025 · aulico.com

21. 21AL
    An LLM translator whose source is a single prompt▲5

    May 2026 · github.com

22. 22
    Redactle LLM Leaderboard▲5

    4d ago · redactle.net

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