Memnai
"Stop asking engineering
for reports."

Plain-language reporting from databases and APIs — for SMBs under $50M.
Working product. Seeking sales co-founder.

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01
The Problem
Your data is everywhere.
You can't get to any of it.
  • Revenue lives in your database. Pipeline is in HubSpot. Billing is in Stripe. Support is in Zendesk. None of it talks to each other.
  • Sub-$50M companies have stretched-thin teams — all bandwidth goes to keeping the lights on, zero capacity for analysis
  • CEOs wearing multiple hats can't see trends or do forward-looking reporting across their systems
  • Traditional BI tools only connect to databases. Everything behind an API — your CRM, billing, support tools — is invisible.
Zero
Capacity for strategic analysis at most sub-$50M companies
2 worlds
Databases and SaaS APIs — every competitor only covers one. Memnai covers both.
02
The Solution
15 minutes to first report.
Not a chatbot — a workflow.
1
Connect
Point Memnai at your database or API — Postgres, MySQL, SQL Server, Stripe, HubSpot, any REST API.
2
Ask or Pick
Type a question in plain English, or start from a pre-built report template and customize.
3
Preview
Review the generated query or API request and expected output before running.
4
Dashboard
Interactive charts and filterable pivot tables render instantly.
5
Export
PDF, Excel, CSV, or JSON. One click.

Same workflow whether the data lives in a database or behind an API. Pre-canned templates for quick adoption. Open-ended queries for everything else.

03
Why Now
Three trends converging.
18.5%
CAGR for self-service analytics — the fastest-growing BI segment
APIs
Every SaaS tool has one. No BI product lets business users query them. Memnai does.
AI
Now accurate enough for production query generation — both SQL and API requests — without developer oversight

Large companies will build their own AI tools — smaller businesses won't. Every BI incumbent is database-only. The API gap is wide open and no one is filling it. The market window is now.

04
Market
SMBs under $50M.
The biggest gap in BI.
Companies above $50M already have Tableau or NetSuite. Tech startups build their own tools. The real market is every other business that needs data from both their databases and their SaaS tools — but lacks engineering resources to get at either.
Primary Target
Sub-$50M
Revenue companies where the CEO/COO wears multiple hats and engineering is stretched thin
Sweet Spot
$10-20M
Revenue range — validated by CFO consultant who repeatedly sees this gap
Why Not Enterprise
DIY
Large companies will build their own AI tools internally — SMBs won't have that luxury
05
Product
Databases and APIs.
That's the whole point.
Database Intelligence
Knows your database structure — tables, columns, relationships. Generates accurate SQL from plain English. ChatGPT can't replicate this.
API Intelligence
Reads any OpenAPI spec — Stripe, HubSpot, Zendesk, your internal tools. Generates the right API request from plain English. No other BI tool does this.
One Workflow, Any Source
Same ask → preview → dashboard → export experience whether the data is in Postgres or Stripe. Users don't need to know or care where data lives.
Example Queries — Database
"Revenue by plan tier, last 6 months" "Which customers churned in Q4?" "Show me user activity since January 23rd"
Example Queries — APIs
"Total Stripe revenue this quarter" "Open HubSpot deals by stage" "Zendesk tickets opened this week by priority"
PostgreSQL MySQL SQL Server Any REST API Permissions Audit Logging Cloud + Self-Hosted
06
Business Model
Priced to be forgettable
as a line item.
Starter
$249 /mo
3 users, 1 source, dashboards + exports
Pro
$499 /mo
5 users, multiple sources, permissions + audit
Team
$899 /mo
10 users, advanced permissions + templates
Enterprise
Custom
Air-gapped self-hosted, SSO, dedicated GPU
$249/mo
Lands small SaaS & agencies on day one
85%+
Gross Margin
+$39/user
Add-on expansion — users & sources
Annual
Discount to prevent monthly churn
07
Competitive Landscape
They do databases.
We do databases and APIs.
Memnai Tableau / Looker Metabase ChatGPT
REST API data sources
Database data sources
Self-serve (no SQL / no code)
Schema & spec-aware AI
15-minute setup
Air-gap / self-hosted
Permissions + audit logging
Under $500/month
No dev work to integrate
08
Go-to-Market
Founder-led outbound.
One buyer. One message.
Cold email subject line
"Stop asking engineering for reports"
Target Persona
CEO / COO at $10-50M revenue SMBs who need data from their database, CRM, billing, and support tools — without dedicated engineering
Early Pipeline
Warm intros to beta testers in the $10-20M revenue range via consultant network.
Phase 1 — Now
Founder-Led Outbound
Product ships with databases + APIs on day one. Cold outreach to SMB operators. Demo video that closes without a call. Design partner program (3-5 companies).
Phase 2
Cross-Source Dashboards
Combine database and API data on one dashboard — e.g., revenue from Postgres alongside pipeline from HubSpot. Unified executive reporting.
Phase 3
Slack Integration + Proactive Alerts
Use Slack as the UI — send a message, get a report back. AI-generated daily digests about trends and anomalies.
09
The Co-Founder Role
Your first month.
This isn't a vague "help us sell" role. You have a weapon no competitor has: databases and APIs in one tool. Once executives experience instant self-serve answers from all their systems, they don't go back. Here's your first 30 days.
$5-10K
ACV
<30 days
Close Cycle
3-5
Seats / Deal
Week 1
Build the target list
Identify 200 CEOs/COOs at $10-50M revenue SMBs. Map businesses that lack engineering but need reporting.
Week 2
Launch outreach
Cold email + LinkedIn sequences with the demo video. Activate warm intros from consultant network. A/B test subject lines, track open and reply rates.
Week 3
Run demos, collect signal
10+ live demos with SMB operators. Document objections, feature requests, and buying triggers. Feed insights back into product.
Week 4
Close design partners
2-3 companies on pilot agreements. First revenue or LOIs. Proof that the door opens.
10
What's Built
Solo technical founder.
Product in production.
10+ years building data products and AI-driven platforms. Database and API connections both ship today — not roadmap items. What's missing is the GTM engine.

Two deployment modes: SaaS (connect your database or API, start querying) or enterprise air-gap (container on customer's own AWS — data never leaves their infrastructure).

Frontend Next.js, Tailwind, shadcn/ui
Backend Fastify, tRPC, Node.js 20
Database PostgreSQL, Drizzle ORM
User DBs Kysely (pg, mysql2, mssql)
User APIs OpenAPI/Swagger parser, any REST API
AI Engine Vercel AI SDK, Ollama
Charts Recharts
Auth AWS Cognito
Deploy Docker + AWS (ECS, RDS, S3)
Infra Terraform
Testing Vitest, Playwright
11
Memnai
The product sells itself
once demoed.

You get it in front of the right people.
Equity co-founder. Build the GTM engine.

jason@mythicworks.net

Databases and APIs. One workflow. No engineering required.