Sign up & install
Create a free account, then install the CLI.
Sign in with GitHub$ curl -fsSL https://mikiri.dev/install.sh | sh
$ mikiri login
Mikiri profiles your FastAPI, Flask, or Django API under realistic load, finds the endpoints that are too slow and the database calls causing it, and gives you a report with the exact fix. Results in under 5 minutes.
Run it on your project. See the results. Then decide.
$ mikiri run Detecting framework... FastAPI + SQLAlchemy Extracting routes... 6 endpoints found Ranking by risk... 2 high-priority targets Seeding database... 4 tables, 1,200 rows Profiling under load... 10 VUs, 30s per endpoint Results GET /api/users/{id}/orders p95: 340ms queries/req: 47 Redundant queries detected — 47 queries where 1 would do. GET /api/orders p95: 890ms queries/req: 203 Redundant queries detected — 203 separate DB calls. Found 2 optimization targets. Unlock the full report with exact file paths, source code, and fix recommendations: mikiri unlock abc123 report mikiri_report_preview.md
Mikiri detects your framework, extracts routes, and reads your ORM schema. Zero config needed. It handles FastAPI, Flask, and Django automatically.
Seeds your database, hits every endpoint with concurrent requests, captures every SQL query, and profiles CPU usage function by function.
Not vague suggestions. The exact function, the exact query pattern, and the exact code change. Most reports pay for themselves within the first deploy.
Your API might be hitting the database hundreds of times when once would do. Mikiri spots these patterns and shows you how to fix them.
Measures where your API actually spends its time under real traffic, function by function. No guesswork — you see the exact bottleneck.
Captures every database query and its timing. Finds queries that scan entire tables instead of jumping straight to the right rows.
FastAPI, Flask, and Django. SQLAlchemy and Django ORM. PostgreSQL.
Run it first. See the results. Then decide if the full report is worth it.
One optimization report that typically saves hours of debugging. Plus a credit for your next run.
Early adopter price — locked in for life. For teams that ship often and want continuous monitoring.
Bring your own LLM key. Full control over data flow.
Mikiri runs locally. Code snippets are sent to the LLM provider (OpenAI) for analysis — never to Mikiri servers. Only profiling metadata (latency, query counts) is sent to Mikiri for billing. On the Team plan with BYOK, even LLM calls go directly to your own provider.
That's exactly who Mikiri is for. You don't need to know about profiling, query optimization, or database internals. The report tells you which file, which function, and what to change. You can hand it to your AI coding assistant and it'll know what to do.
ChatGPT guesses based on your code. Mikiri actually runs your API under load, measures real response times, and captures every database query. It finds problems that only show up under traffic — the kind you'd miss by reading code alone.
Mikiri runs on your machine. Code snippets are sent to OpenAI for analysis, never to Mikiri servers. Only performance numbers (response times, query counts) are sent to Mikiri for billing.
You see the results before you pay. If there's nothing to fix, you don't need to unlock anything. You only pay when there's something worth fixing.
FastAPI, Flask, and Django. Mikiri figures out which one you're using automatically — no config needed. It works with SQLAlchemy and Django ORM on PostgreSQL.
Create a free account, then install the CLI.
Sign in with GitHub$ curl -fsSL https://mikiri.dev/install.sh | sh
$ mikiri login
$ cd your-project/
$ mikiri run
Mikiri profiles your API and shows you what it found: endpoint latencies, query counts, and optimization targets. You see the results before you pay anything.
If Mikiri found issues worth fixing, grab a credit to unlock the full details: exact file paths, source code, and fix recommendations. Your preview unlocks instantly.
See what Mikiri finds in your API. Under 5 minutes, no credit card required.