nowfound

Alternatives

Products that do what TokenShrinker by GigantByte does

GigantByte | TokenShrinker

  1. 1

    Cut your LLM Token Costs by 65%

    Jul 2026 · supercompress.dev

  2. 2

    RAG-ready web scraping that cuts your LLM token costs

    Apr 2026

  3. 3
    moar95

    Your documents. AI ready.

    May 2026

  4. 4
    Tokenwise143

    A smart LLM proxy that shows where you're overpaying

    Jun 2026 · tokenwisehq.com

  5. 5

    See your LLM token bill before you hit send.

    2025

  6. 6

    curated crypto-asset resources launcher

    2017

  7. 7WT
  8. 8

    Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift

    8d ago · github.com

  9. 9

    Estimate prompt cost before you call the LLM API

    May 2026 · singhajit.com

  10. 10

    Self-hosted AI proxy. Your data never leaves your network.

    Jul 2026 · tokenveil.eu

  11. 11

    Web tool to slice codebase clutter & save 50%+ on LLM tokens

    Jun 2026 · polar.sh

  12. 12

    Cut LLM token costs 40-70% with offline prompt compression

    Jul 2026 · llmslim.app

  13. 13AU

    Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…

    Jul 2026 · yolo-auto.com

  14. 14LC

    Hi HN, I'm building Librarian (https://uselibrarian.dev/), an open-source (MIT) context management tool that stops AI agents from burning tokens by blindly re-reading their entire conversation history on every turn. The Problem: If you're building agentic loops in frameworks like LangGraph or OpenClaw, you hit two walls fast: Financial Cost: Token usage scales quadratically over long conversations. Passing the whole history every time gets incredibly expensive. Context Rot: As the context window fills up, the LLM suffers from the "Lost in the Middle" effect. Response latency…

    Feb 2026 · uselibrarian.dev

  15. 15

    Turn PDFs, DOCX, and URLs into clean markdown.

    Jul 2026 · tokendrop.tech

  16. 16

    Local-first AI token usage tracker for every coding agent.

    Aug 2026 · npmjs.com

  17. 17

    Live LLM API pricing & accurate GPU VRAM calculator

    Jul 2026 · tokenswarm.io

  18. 18

    GEO platform: scan, fix & deploy llms.txt for WordPress

    Jul 2026 · aigeoradar.com

  19. 19CF

    Over this past month I had the idea to build a 100% open-source MIT-licensed tool to simplify sharing code with LLMs, without the vendor lock-in you get from most SDKs. Right now, it’s way too hard to export your data or work freely with models like o1 PRO or Grok 3, especially since they don’t even have API access. So I built OpenRepoPrompt, an open-source tool from wildberry-source that serializes files and folders into XML for LLMs. I coded/designed from 12PM -> 11PM on Saturday and 8AM -> 11PM on Sunday. There are still tons of features missing (I'm working on better file filtering…

    2025 · github.com

  20. 20

    One API. Lowest token prices.

    Jul 2026 · videorouter.sh

  21. 21
    Byte8

    Your local AI model or API key in a customizable llm chatbox

    Jul 2026 · get-byte.app

  22. 22

    Real-time, privacy-first monitoring of your LLM API usage

    May 2026 · github.com

  23. 23AL

    Built a simple OpenAI token counter that doesn't crash. It gives you: Tokens Characters Words Paragraphs Link: https://openai-tokenizer.netlify.app/ Client side only. Feedback welcome.

    2023 · openai-tokenizer.netlify.app

  24. 24SC

    Shmauthor here. Built this for myself, putting it out in case it's useful. Needed any URL as clean Markdown for LLM context — including Cloudflare/anti-bot sites. curl gets HTTP 403 on those, raw HTML is 80%+ nav noise eating context, paid SaaS (Firecrawl, Jina) wasn't an option for me. It's a Docker wrapper around two existing OSS tools — CloakBrowser (stealth Chromium that passes Cloudflare) and rs-trafilatura (HTML → Markdown). No new scraper, just glue. Runs locally, my URLs stay on my box Token reduction (raw curl HTML vs snitchmd, tiktoken cl100k_base): -…

    Apr 2026 · github.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →