AI · alternatives · 2026
24 alternatives to TokenCrush
Thrive in a world of increasing LLM costs
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Token.ai▲151The smart gifting service for the thoughtful professional
2017 · token.ai · its alternatives →
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Promptology▲232AI prompt engineering business model guide
2023 · shushantlakhyani.gumroad.com · its alternatives →
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TokenCounter▲117Count tokens and estimate costs for any AI model
2024 · tokencounter.co · its alternatives →
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Tokenwise▲143A smart LLM proxy that shows where you're overpaying
Jun 2026 · tokenwisehq.com · its alternatives →
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Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work.
Jun 2026 · clevercrow.io · its alternatives →
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Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…
2024 · jigsawstack.com · its alternatives →
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Run GPT-OSS, Qwen, Llama, and DeepSeek through one OpenAI-compatible API with streaming and clear usage-based pricing.
May 2026 · adola.app · its alternatives →
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Paste your prompt → optimize it → cut token cost instantly.
Apr 2026 · frukal.com · its alternatives →
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hi. i'm dulra. i strongly believe in moving humanity forward. we're at a tipping point: ai-driven applications are generating hundreds of millions of prompts daily, costing organizations millions in token fees and creating governance nightmares. every wasted word compounds at scale—across chatbots, summarizers, code assistants, and virtual agents—making prompt efficiency not just a nice-to-have, but a strategic imperative. by treating prompts as first-class assets, we can drive down llms usage costs by up to 60%, eliminate compliance risks, and unlock new multi-model workflows that keep us…
2025 · prompt-efficiency-suite.lovable.app · its alternatives →
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TokenTrim▲10Trim your AI prompts. Same answer, 40% fewer tokens.
Sep 2026 · chromewebstore.google.com · its alternatives →
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Hi HN! Token cost has started to become a high topic of concern to all of us. I tried a few (awesome) tools such as rtk, caveman, and the recent (hillarious but effective) ponytail. What they usually do, is in-line token reduction, e.g. try to compress requests / responses as much as possible. But then it hit me (and I’m sure others had similar ideas) - just like we have routers that pick the right model, why not have something that will also narrow down the amount of available tools, skills and mcps based on repo/context? People usually accumulate skills, agents, MCP servers,…
Jun 2026 · github.com · its alternatives →
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Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift
Aug 2026 · github.com · its alternatives →
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Trim unnecessary code, save AI tokens, and reduce API costs.
Aug 2026 · token-trim.vercel.app · its alternatives →
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Cut LLM token costs by up to 95% without sacrificing quality
Jul 2026 · vrugxinbzg.a.pinggy.link · its alternatives →
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Compress AI prompts, cut token costs by 15%
Feb 2026 · its alternatives →
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Hi HN, we are the founders of Relari (https://www.relari.ai). We launched our LLM evaluation stack on HN a few months ago (https://news.ycombinator.com/item?id=39641105), which is now used in production by AI teams at companies like Vanta and PwC. We have since expanded to directly optimizing parts of an LLM pipeline using a data-driven approach. In particular, we see a lot of potential in the Auto Prompt Optimization—which could be an attractive alternative to fine-tuning in many cases—to use data to align LLMs for domain-specific tasks. Here’s a demo video:…
2024 · 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 →