No-code AI backend manager: auto-scale, optimize costs, monitor 24/7
Solo indie hackers lack no-code tools to build scalable AI backends, forcing them into overwhelming custom coding that blocks product launches.
ScaleAIHub connects your existing AI code/APIs to a no-code dashboard for auto-scaling, cost optimization, and monitoring. It proxies requests, batches inferences, and alerts on issues, letting indies focus on product not infra. Handles high-traffic without DevOps hassle.
Solo indie hackers and developers building AI-powered SaaS products
Intelligent optimization engine reduces AI costs 30-50% automatically, tailored for solo scale-ups.
edgy/professional
Route traffic through optimized proxy.
Dynamically scale based on load/cost.
Batch requests, model routing for savings.
Live metrics: latency, tokens, spend.
Email/Slack alerts for thresholds.
Split test models/providers.
Auto-switch providers on outage.
Weekly PDF cost reports.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| slack_webhook | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| target_url | text | No |
| proxy_url | text | Yes |
| rules | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| proxy_id | uuid | No |
| request | text | Yes |
| response_time | int | Yes |
| tokens | int | Yes |
| cost | float | Yes |
| timestamp | timestamp | No |
Relationships:
/api/proxiesCreate proxy
/api/proxies/:idGet proxy details
/api/proxies/:id/rulesUpdate optimization rules
/api/logs/:proxyIdFetch logs
/api/alertsConfigure alerts
No optimization
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 120 | 1.5% | $45 | $540 |
| Month 6 | 900 | 3.5% | $780 | $9,360 |
Auto-optimize costs, scale traffic, monitor everything – no code.
Target scaling pains in Indie Hackers 'Launched' threads and Twitter searches for 'AI costs high'. Offer free Pro audits of their setups via DM to 30 users, convert top 3.
LLM observability
No scaling/optimization
Full auto-scale + cost opti
Tracing
No infra management
Proxy-based scaling for any AI
Optimization ML trained on aggregated anon usage data for better savings.
AI apps hitting scale limits; cost spikes with traffic growth post-2024 models.
Proxy latency adds overhead
Edge runtime + caching
Indies don't scale yet
Free tier for early adoption
API ToS violations
Transparent proxy, no data store
Success: 10 confirm cost/scale issues
Success: 20% cost save reported
Success: 100 signups
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