DocoAPI's answer

Honest answer: we don't know of any yet. DocoAPI launched on April 8, 2026 — yesterday. It's a Day 0 product with zero prior audience. There are no known customers, testimonials, case studies, or "used by" logos at this time.

The live demo available is the Petstore API at petstore.docoapi.com — a reference implementation, not a customer deployment.

This is actually the #1 trust gap identified in our positioning analysis. The recommendation: collect and publish testimonials from the first 5–10 customers as fast as possible. Even a single "I switched from Swagger UI and set it up in 10 minutes" quote changes the credibility equation for every prospect after them.

Seranova's answer:

• Heaven Breeze HVAC
• Gastroenterology Diagnostic Center

DocoAPI's answer

Two things no other API docs tool does simultaneously:

First, it's the only docs platform with an executable MCP server. Every DocoAPI project gets a hosted MCP endpoint at {project}.docoapi.com/mcp that lets AI coding assistants — Cursor, Claude Code, Windsurf — make real HTTP requests against your live API. Every other tool shipping MCP (Mintlify, ReadMe, GitBook) gives you doc search: ask a question, get text back. DocoAPI's MCP returns actual API responses. That's the difference between an AI that can explain your endpoint and one that can use it.

Second, it's built specifically for FastAPI. Not adapted — built for. FastAPI generates an OpenAPI spec at /openapi.json by default. DocoAPI syncs directly from that URL and auto-updates every time you deploy. No MDX files, no YAML nav trees, no manual uploads. 362 million monthly FastAPI downloads, and DocoAPI is the only docs tool targeting that ecosystem directly.

Seranova's answer:

• Seranova focuses specifically on Google Reviews, the platform that matters most for local service businesses.
  
• Its workflows are built around fundamental post-job interactions, which makes it stand out from the platforms providing generic marketing automation.
  
• Sentiment analysis is optimized for short, service-style customer replies rather than long messages.
  
• Negative feedback is kept private automatically, giving the business owners one more chance to solve the problem before the customers are asked for public review.
  
• The system requires almost no manual effort, which matches the fast-paced reality of field service teams.

DocoAPI's answer

If you're on Swagger UI: You're exposing your backend URL, your docs go down when your API does, and enterprise prospects are silently judging you. DocoAPI fixes all three in about 10 minutes — paste your OpenAPI URL, get a professional hosted portal with AI search, an interactive playground, and version history. $99/month.

If you're on Mintlify: You're paying ~$300/month for docs that look great but whose MCP can only search text. DocoAPI is $99/month flat (workspace pricing, not per-seat), includes AI semantic search and an interactive playground, and the MCP actually calls your endpoints. It's bootstrapped — no VC-driven price escalation. First 50 customers get $99 locked for life.

If you're on ReadMe: ReadMe offers MCP on their free plan, but it's search-only. ReadMe's full-featured tiers run $79–$349/month. DocoAPI bundles AI search, playground, MCP execution, and 20-version rollback at $99 flat — no usage tiers, no per-seat math.

The short version: DocoAPI sits in the gap between free-but-embarrassing (Swagger UI) and powerful-but-expensive (Mintlify/ReadMe). It's the most capable option under $100/month, and the only one where your AI coding assistant can call your real API.

Seranova's answer:

• Seranova is built for trades and service businesses, which makes it unique among competitors who serve broad industries.
  
• Competitors often focus on multi-platform review management, while Seranova focuses on Google, where local visibility actually comes from.
  
• The routing logic is more straightforward and more practical, reducing the need for owners to monitor every message manually.
  
• It protects businesses by escalating negative messages privately before a review is requested, which many generic platforms do not handle well.
  
• It is easier to adopt, because the workflow mirrors how real service jobs are completed.

DocoAPI's answer

Backend engineers, tech leads, and solo technical founders building APIs with FastAPI (or any framework that outputs an OpenAPI spec). Typically at seed-to-Series-A startups with 2–25 engineers, or indie developers graduating a side project into a real product.

They share a profile: they've been shipping with Swagger UI at /docs because it's free and works — but they know it's a liability. They've looked at Mintlify or ReadMe and can't justify $300/month for a docs renderer. They use AI coding assistants (Cursor, Claude Code) daily and want their API to be machine-callable, not just human-readable. They can expense $99/month without a meeting.

The one-line version: FastAPI developers who are embarrassed by Swagger UI but can't justify Mintlify's price tag.

Seranova's answer:

• Local service business owners and operators who rely on Google Reviews to attract customers.
  
• HVAC, plumbing, electrical, and roofing companies that need consistent follow-up.
  
• Restaurants, salons, spas, and clinics that depend on repeat customer satisfaction.
  
• Small and mid-sized teams that want automation without adding administrative work.

DocoAPI's answer

DocoAPI started the way most useful tools do — out of frustration with the bill.

Erick was using Mintlify to document his APIs. It worked fine. Then they raised their prices. For a bootstrapped developer shipping FastAPI projects, paying a premium for a docs renderer didn't make sense anymore — especially when FastAPI already generates a complete OpenAPI spec automatically.

So he built the alternative he wanted: a docs platform that syncs directly from your OpenAPI URL, looks professional out of the box, and costs a flat $99/month. No MDX files, no manual nav trees, no surprise pricing changes. Along the way, he added what Mintlify and the rest still haven't — a hosted MCP server that lets AI coding assistants make real HTTP calls against your API, not just search your docs.

DocoAPI launched on April 8, 2026. It's bootstrapped, built by a single developer, and priced to stay where it is. No VC money means no investor pressure to triple the price after the next funding round — which is exactly the problem that created DocoAPI in the first place.

Seranova's answer:

• Seranova was created after seeing how often service businesses struggled with review requests and customer feedback.
  
• Owners were losing positive reviews because technicians forgot to ask.
  
• Negative experiences became public before anyone on the team knew about them.
  
• There was no predictable way to follow up after a job without manual reminders.
  
• Seranova was built to automate the process, keep issues private, and help service businesses maintain a consistent flow of authentic five-star reviews.

DocoAPI's answer

DocoAPI is built on Next.js (frontend) and Python (backend) — a stack that reflects its audience. The backend is built by a FastAPI developer, for FastAPI developers.

The full technical stack:

• Next.js — frontend application, docs portal UI, and hosted project pages
• Python — backend services, OpenAPI spec processing, and MCP server
• FastAPI — the backend framework (built by a FastAPI developer, naturally)
• OpenAI text-embedding-3-small — powers the AI semantic search (Cmd+K)
• pgvector — vector storage for semantic search embeddings
• MCP (Model Context Protocol) — hosted MCP server that proxies real API calls to Cursor, Claude Code, and Windsurf
• SHA-256 deduplication — spec sync only re-processes when the OpenAPI spec actually changes
• GitHub App integration — auto-sync on push

Seranova's answer:

• Next.js for the frontend and application framework
  
• React for UI components
  
• TypeScript for type safety
  
• Supabase and PostgreSQL for authentication and data storage
  
• TailwindCSS for styling
  
• OpenAI models for sentiment analysis
  
• Twilio for SMS delivery
  
• Vercel for hosting and deployment