Practical tools and clear answers that tell you what to fix first, what your AI will cost, and what to do before launch.
Each one stands alone, and all three are free. Open the one you need.
A guided security and reliability check across 10 categories, ending in a grade and a fix plan ranked by impact.
Compare what each model would cost at your expected usage, before an unexpected bill arrives.
A practical go live plan filtered to the stack you built with, covering deployment, monitoring, security and more.
| Model | Per 1M tokens, in and out | A month |
|---|---|---|
| GPT OSS 20B (Groq)Groq | $0.075 in, $0.3 out | $394 |
| Claude Haiku 4.5Anthropic | $1 in, $5 out | $6,000 |
| Claude Sonnet 5.5Anthropic | $2 in, $10 out | $12,000 |
| Claude Opus 5.5Anthropic | $4 in, $20 out | $24,000 |
Assumes 5 requests per user a day, 1,500 tokens in and 500 out each, 30 days. List prices checked 2026-10-02, no caching or batch discount.
Price my own workloadEvery result is auditable. The scoring is deterministic, the prices link to their source page, and the checklist explains why every item is on it. If a result is an estimate, it is labelled as one.
Each category has a fixed weight based on how often it appears in real first month incident post mortems. Your answer sets a Basic, Standard or Pro tier that maps to a numeric score. Two runs with the same answers return the same grade.
Every model card links to the provider's public pricing page with the last verified date. Text uses per million token maths; voice, image and video use each provider's published unit. Recommendations rank by cost at your scale, breaking ties by latency and context window.
The full list covers infrastructure, security, payments, observability, growth, legal and platform submission. Your stack turns off the items that do not apply and reorders the rest by criticality. Every item ships with the why, the what and a one line check.
Straight answers to the choices that come up while you build.
A first person guide to building a startup in 2026, chapter by chapter, from the idea to your first customers.
Read the founder guideThe pre launch security audit, AI cost planning and go live checklist in one read, written for small teams.
Read the guideEvery price cut and model retirement we have logged, with the date it takes effect.
See what changedSecurity fixes, price changes and post mortems that affect people shipping on these stacks, written up once a week.
Week of 19 October 2026
The tools stand in for the roles a small team has not hired yet.
You are the CEO, the engineer, the ops person and the marketer. You cannot buy a $50k security audit and you cannot skip one.
You shipped in a weekend with Lovable, Bolt, Replit or v0. It works. Now it needs to keep working when real users find it.
Two to ten people without a dedicated SRE or security hire. You want a checklist, not a lecture.
You are shipping an AI product and every provider price feels arbitrary. Model the real bill before it lands.
You hand off client sites weekly. Your reputation rides on the checklist you follow before the invoice.
React Native, Flutter, Expo. App store rejections cost you a week. Catch them before you upload.
Cafiyn Pulse is a free suite of three pre-launch utilities for founders and engineering teams: the Stack Grader (a production-readiness audit across 10 categories), the Cost Comparator (an AI cost model covering 84 models across 22 providers), and the Launch Checklist (a stack-tailored go-live plan).
Ten plain-English scenarios cover the categories that account for the majority of first-30-day production incidents: authentication, secrets, backups, rate limiting, payment webhooks, monitoring, HTTPS/HSTS, input validation, access control, and dependencies. Each answer maps to a Basic / Standard / Pro tier with a weighted score. The grade is deterministic, not model-generated, so two runs with the same answers return the same result.
Prices are pulled from each provider's own pricing page, checked weekly by an automated drift check, and re-verified by hand monthly. The comparator lists the exact page and the date of last verification next to every model, so you can audit the number yourself. Text, voice, image, and video pricing all use the same input/output rate methodology providers publish, applied to your usage numbers.
84 models across text, voice, image, and video: Anthropic (Claude Haiku 4.5, Sonnet 5, Opus 5, Fable 5.1), OpenAI (GPT-5, GPT-5.6, GPT-6 Astra, o3-mini), Google Gemini 3.x, DeepSeek V4, xAI Grok 4.6, Mistral, Meta Llama, Cohere, Perplexity, ElevenLabs, Whisper, Deepgram, DALL-E, Flux, Runway, Pika, Luma, and Kling.
Solo founders, indie hackers, vibe coders shipping with Lovable / Bolt.new / v0 / Replit, AI builders modeling their real API bill, small engineering teams pre-Series-A, freelancers and agencies, and mobile app makers preparing for App Store or Play Store submission.
Yes. There is no paid tier and no upsell inside the tools. Cafiyn Innovations funds it because the same reliability categories the Stack Grader teaches map to the paid infrastructure our team ships for growth-stage customers.
No. Cafiyn Pulse never sells, rents, or shares your data. Your work is stored in a managed EU-region Postgres instance. You can export it as JSON or permanently delete your account from your profile page in one click.
Most stacks lose points on the same three things: rate limiting, webhook signature checks and row level authorisation. The Stack Grader shows which of them bite yours, and which to fix first, in about three minutes. It is free and needs no account.
Pulse gets your app production ready. Cafiyn FlyWheel then finds your first hundred customers, Cafiyn Lens validates the market before you build, and Cafiyn Biz runs the strategy work in house teams cannot yet staff.
Visit cafiyn.com