FixyFlow VS Sinatra.dev

FixyFlow's answer

FixyFlow does one thing — customer communication — and runs alongside whatever you already use (Jobber, RepairShopr, Shop-Ware, Tekmetric, or pen and paper). Most shop management tools try to replace your entire workflow. FixyFlow just owns the SMS, tracking page, and review-ask layer so customers stop calling to ask "is it ready yet?" — no data sync, no double entry, setup in under 5 minutes.

Sinatra.dev's answer:

It runs on the model subscription you already pay for. You assign a Linear issue, label a GitHub issue or mention it in Slack, the agent does the work in its own isolated sandbox and comes back with a pull request, and the model bill goes to your own Claude or ChatGPT subscription or API key. Sinatra never bills for model usage. The free plan is 1 task at a time, plus 1 queued, with no daily limit and no card. Pricing was the reason we built it in the first place, the agents we tried billed in credits you couldn't predict.

FixyFlow's answer

Three reasons. (1) No migration — FixyFlow sits beside your existing tools instead of replacing them, so you don't retrain staff or move data. (2) Priced for solo operators at $15/mo rather than $150–300/mo for full shop management suites. (3) Direct founder support — emails reach a real person, not a ticket queue. The free trial is 14 days, no credit card, and setup takes under 5 minutes.

Sinatra.dev's answer:

Pricing and entry points. Plans are one flat monthly price for the whole workspace, any number of people: Pro is $20/mo for 3 tasks at a time, plus 10 queued, and inference runs on your own Claude or ChatGPT subscription or API key, so Sinatra never bills for model usage. And it works from Linear issues, GitHub issues and Slack threads, so a team whose tickets live in Linear can assign work to the agent the way they'd assign a teammate. It also reviews its own diff and posts the findings on the PR, fixes failing CI, and pushes revisions when a reviewer leaves comments. To be honest about the limits, it doesn't work from Jira, and the agent never merges its own PRs, a person does that.

FixyFlow's answer

Small service business owners running 5–200 work orders a month: phone and electronics repair, auto repair andcollision, dry cleaners and tailors, HVAC and plumbing, jewelers and locksmiths, bicycle and furniture repair, appliance service. Particularly strong fit for "first CRM" customers — shops still tracking jobs in a notebook or spreadsheet and drowning in status phone calls.

Sinatra.dev's answer:

Small engineering teams and solo founders with a backlog of well specified tickets they never get to: reproducible bugs, small features with acceptance criteria, the work that is clear enough to hand off but keeps getting pushed behind bigger things. Teams already working out of Linear, GitHub Issues or Slack who don't want another tool to learn, and who would rather run agent work on the Claude or ChatGPT subscription they already have than open a new metered account somewhere else.

FixyFlow's answer

I (Lasse) used to own a computer repair shop and spent a lot of time on admin/following up on customers, playing phone tag and getting interrupted during repairs. So I decided to do something about it, I wanted an elegant, simple solution that allows both the customer to be delighted as well as saves time and money for the service business. So I created what I like to call the "customer happiness layer" FixyFlow!

Sinatra.dev's answer:

I built a pet sitting marketplace with my wife. She always had features she wanted shipped and every one of them went through me, so I spent about three months building an agent she could assign tickets to instead. She writes the ticket, assigns it, and a PR comes back. She's now a big contributor to that codebase without me being in the way. I started handing it my own backlog too and eventually it turned into a product. It has been a lot harder to build than I expected, lots of edge cases, which is why it started with just Linear and GitHub issues (Slack, a CLI and an MCP server came later) and why the agent doesn't merge its own PRs, you still do that last part yourself.

FixyFlow's answer

Next.js 15 (App Router) + TypeScript + React + Tailwind CSS on the frontend. Drizzle ORM with Postgres (Supabase) for the database.

Sinatra.dev's answer:

TypeScript throughout. A Fastify API for webhooks and OAuth, a Temporal worker that orchestrates each agent run, Next.js for the dashboard and the site, and Prisma on Postgres. Every task gets its own Daytona sandbox with the repository cloned in; the sandbox stops when the task goes quiet and is reused for follow-ups. Model access is bring your own: an Anthropic or OpenRouter API key, or a Claude or ChatGPT subscription connected to the workspace.