SparkToro
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Sinatra.dev
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SparkToro Sinatra.devNo features have been listed yet.
Sinatra.dev's answer:
It runs on the model subscription you already pay for. You assign a Linear issue or label a GitHub issue, 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 Codex subscription or API key. We don't resell tokens or mark them up. The free tier is 5 tasks a day on your own credentials, every day, or 1 task a day where Sinatra covers the tokens. Pricing was the reason we built it in the first place, the agents we tried billed in credits you couldn't predict.
Sinatra.dev's answer:
Pricing and entry points. The paid plan is $20 per member per month for the hosted sandboxes and orchestration, with no markup on tokens because inference runs on your own Claude or Codex subscription or API key. And it works from Linear issues as well as GitHub, 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, and pushes revisions when a reviewer leaves comments. To be honest about the limits, it only works from GitHub and Linear issues today, and the agent never merges its own PRs, a person does that.
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 or GitHub Issues who don't want another tool to learn, and who would rather run agent work on the Claude or Codex subscription they already have than open a new metered account somewhere else.
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 only works from Linear and GitHub issues right now and why the agent doesn't merge its own PRs, you still do that last part yourself.
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 runs in its own Daytona sandbox that gets cloned, worked and torn down. Model access is bring your own: an Anthropic or OpenRouter API key, or a Claude or ChatGPT subscription connected to the workspace.
Based on our record, SparkToro seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Another idea is to use Sparktoroto get some ideas on what websites your audience visits, YouTube channels they watch, other subreddits they visit, etc. Source: over 3 years ago
SparkToro - learn everything about your competitor's audience. Source: over 3 years ago
Follow and engage with ppl tweeting content related to your interest - you can use Sparktoro to find the biggest accounts. Source: over 3 years ago
1/ Understand what I do (gameart assets, taking care of the art pipeline of indie games) 2/ Telling myself "who would need that?" putting down an hypothesis : "gamedevs would need that" 3/ Putting up a list of those places out of my head (where can I find those places? Reddit maybe could be a good bet. Quora? Linkedin? It's like detective work at that point) 4/ Getting help : https://sparktoro.com/ and... Source: over 3 years ago
Maybe they're not even on Reddit! Try your hands on https://sparktoro.com/ see where some of your audience hangout. Or even better if you know them, ask them personally where they found this painting or that one. Source: almost 4 years ago
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