TokenTrim Prompt System
Slash ChatGPT token waste & boost speed with prompts.
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Stop bleeding tokens on bloated ChatGPT custom instructions. Overstuffed prompts waste millions of context tokens, slowing responses and causing instruction amnesia. TokenTrim is a systematic framework to ultra-compress prompts using structured YAML tags—slashing token consumption by up to 93% while boosting output speed and precision. Key Features: YAML Framework: Replace prompt fluff with dense, machine-readable tags. Modular Triggers: Switch AI roles instantly with single keyword tags.
PH · launched Nov 4, 2026 · 1 upvote (top 65%) · 0 views
Niche: prompt engineering and management tools · 173 launches, 13 in the last 7 days ▼ -19% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Prosumer
- AI-native
- Commercial product
- Productivity
- Developer Tools
- Artificial Intelligence
Visit website ↗ Source listing ↗
More like this: all 173 launches in prompt engineering and management tools →
Could you build this?
Yes The product is essentially a structured prompt template framework, which is text content rather than engineering.
Competitors
Other products that read as similar to this one : 52 launches clear the similarity bar, closest 8 shown.
Attention rank: #27 of 53 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 357 days after the earliest competitor.
- TokenPropulsion 2.0 · ph · 2026-10-19 · 1 upvotes · similarity 0.52
- TokenCraft.AI · ph · 2026-09-18 · 1 upvotes · similarity 0.44
- supatoken.lol · ph · 2026-09-07 · 1 upvotes · similarity 0.42
- TokenOptim · ph · 2026-09-20 · 1 upvotes · similarity 0.41
- Tokensift, an open-sourced token-efficiency linter for LLM prompts · hn · 2026-08-29 · 6 upvotes · similarity 0.40
- Token Wise · ph · 2026-09-16 · 2 upvotes · similarity 0.40
- MMT Token Optimizer · ph · 2026-09-20 · 1 upvotes · similarity 0.39
- Tokenflood · hn · 2025-11-12 · 21 upvotes · similarity 0.39
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.