Stealth Phase Launch

Repurpose Waste Compute.
Power Public-Good Science.

Every month, millions of unused commercial AI subscription credits expire. TokenScience routes this idle waste compute into micro-tasks that optimize scientific code, map genomic sequences, and log environmental anomalies.

See the Impact of Your Idle Tokens

Select an AI model provider and estimate the number of unused monthly tokens you would like to donate. We'll show you exactly how many scientific tasks that compute can complete.

OpenAI (GPT-4o)
Anthropic (Claude)
Google (Gemini Pro)
50K 2.5M 5M Tokens

Estimated Monthly Impact

⚙️
5,000 Lines of Scientific Code Audited
🧬
1,000 Genomic sequence alignments mapped
📄
2,500 Municipal ecological PDF pages parsed
🌱
480g Estimated carbon offset (global server efficiency)

The Three Ingestion Targets

TokenScience operates an umbrella framework. As a participant, you choose which scientific domain receives your token allocations.

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Pillar A: Code Optimization

Extracts and rewrites CPU-intensive numerical and math modules from public scientific repositories. Optimizes memory usage and execution cycles to directly cut data center energy overhead.

Initial MVP Target Green Compute
🧬

Pillar B: De Novo Genomics

Aligns raw, fragmented genomic sequence boundaries and audits structural stability of synthetic protein structures. Identifies misfolded states to prevent toxicity.

Genetics Biotech
🌍

Pillar C: Earth Anomalies

Ingests unstructured reports, water safety logs, and local environmental PDFs. Extracts quantitative contamination matrices and anomalies into a geotagged database.

Ecology Data Mining

The Ingestion & Verification Sandbox

Every code optimization undergoes automated sandboxed validation to verify strict logic preservation before contributing back to open source.

1

Ingest & Chunk

Small math-heavy math functions are extracted from public scientific git repositories.

2

Audit with Idle Tokens

Unused subscription credits rewrite code for efficiency under a deterministic system prompt.

3

Verify Sandbox

Code runs in an isolated container. Outputs are test-matched to guarantee mathematical equality.

4

Automated PR

Verified optimizations are submitted as open-source Pull Requests to speed up global packages.

Help Build TokenScience

Sign up with your email to receive early access when the browser extension launches to route your end-of-month idle credits.