Trim 40% off your AI inference costs with smart caching and prompt compression.
Solo founders of AI products face skyrocketing AI model costs that devour margins and prevent profitability despite solid user growth.
TokenTrim acts as a drop-in proxy between your AI SaaS and providers like OpenAI, automatically compressing prompts, caching repeated queries, and deduplicating requests to slash token usage without changing your code. Founders connect via API key, monitor savings in real-time, and get usage breakdowns to reclaim margins instantly. It's serverless, scales with your growth, and pays for itself in days.
Solo founders building AI-powered SaaS products with decent user growth but thin or negative margins
Zero-code integration with automatic prompt rewriting using meta-learning, outperforming manual tweaks by 2x on average benchmarks.
friendly
Secure HTTPS proxy for forwarding optimized requests to any LLM provider.
Live metrics on tokens saved, costs avoided, and usage trends.
AI-powered shortening of prompts while preserving output quality.
Redis-backed cache for identical or similar prompts with TTL.
Email/Slack notifications for cost thresholds.
Breakdown by model/provider with savings reports.
User-defined rules for routing or skipping optimizations.
CSV/PDF exports for accounting.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| api_key_hash | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| provider | text | No |
| proxy_url | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| proxy_id | uuid | No |
| tokens_in | int | No |
| tokens_out | int | No |
| cost_saved | float | No |
| timestamp | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| threshold | float | No |
| active | bool | No |
Relationships:
/api/proxy/:providerForward optimized request to LLM
/api/dashboardFetch usage metrics
/api/setupCreate proxy config
/api/alertsUpdate alert thresholds
No alerts, no exports
1M tokens/month
10M tokens/month
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 150 | 5% | $250 | $3,000 |
| Month 6 | 800 | 8% | $2,100 | $25,200 |
TokenTrim's proxy optimizes your prompts, caches responses, and routes smartlyβreclaim your margins today.
DM 10 AI founders on Twitter/X who've tweeted about OpenAI costs, offer free lifetime Pro access for feedback and a testimonial. Post in Indie Hackers 'Show IH' with beta signup. Join r/SaaS and reply to cost complaint threads with demo link.
Great observability
No auto-optimization
Built-in compression and caching for immediate savings
Tracing
Monitoring only, no cost reduction
Active proxy optimization
Proprietary prompt compression models trained on anonymized usage data for continuous improvement.
AI costs rising 2x YoY with model prices volatile; solo founders hit profitability wall as users scale.
Proxy latency impacting UX
Edge functions + caching; benchmark <100ms
Users stick to provider dashboards
Free tier proves 30%+ savings
API provider changes
Multi-provider support from day 1
Success: 7/10 confirm pain >$500/mo
Success: Average 25% savings reported
Success: 10 signups, 2 paid
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