Reducing LLM input tokens by 70%
Details
- External ID
- 48109600
- Source
- HN
- Company
- —
- Product
- Reducing LLM input tokens by 70%
- Website domain
- adola.app
- Launched
- May 12, 2026
- Cohort
- —
- Upvotes
- 56
- Upvotes percentile
- 0.8465266558966075
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Enrichment
- Theme
- ML inference and model optimization
- Vertical
- —
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Hobby / open-source project
- Normalized one-liner
- llm input token compression technique
- Manually corrected
- False
Could you build this?
Partial Building an OpenAI-compatible proxy gateway with billing and streaming is straightforward, but achieving a 70% input token reduction without catastrophic semantic loss requires non-trivial prompt compression algorithms or custom context-caching infrastructure.
What it would actually take: The architecture uses a high-performance API proxy (Go or Rust) exposing an OpenAI-compatible interface in front of open-source model providers. The hard part is the token compression engine, which requires semantic pruning algorithms, selective syntactic tree stripping, or attention-based token elimination (such as LLMLingua) running in low-latency memory before forwarding the payload to upstream inference.
Discussion
20 comments analyzed.
Concerns raised: Borrowed hero treatment gave bad first impression for technical audience, Comments appear to be botted
Competitors
Other products that read as similar to this one — 341 launches clear the similarity bar, closest 8 shown.
Attention rank: #49 of 342 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 195 days after the earliest competitor.
- Tokensift, an open-sourced token-efficiency linter for LLM prompts · hn · 2026-08-29 · 6 upvotes · similarity 0.63
- CTON: JSON-compatible, token-efficient text format for LLM prompts · hn · 2025-11-20 · 13 upvotes · similarity 0.58
- 10x better performance from the Coding Harnesses with LLM-wiki · hn · 2026-06-18 · 16 upvotes · similarity 0.57
- LLM fine-tuning without infra or ML expertise · hn · 2026-01-21 · 5 upvotes · similarity 0.56
- I built a CLI that turns your codebase into clean LLM input · hn · 2026-04-24 · 10 upvotes · similarity 0.55
- TokenPath · hn · 2026-07-21 · 5 upvotes · similarity 0.54
- HighSNR · hn · 2026-03-16 · 6 upvotes · similarity 0.53
- CLaaS · hn · 2026-02-26 · 6 upvotes · similarity 0.53
Other launches for this product
- No other launches for this product.