Opportunities › Subscription-based AI tool access for developers › Proposed app
Steadyloop
Flat-price AI coding agent for developers who retry a lot
- Score
- 35
- confidence 55
- Evidence
- 3
- items on the page
- Rivals
- 2
- named in sources
- First version
- 45 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2023
- Emerging market · AI estimate
ScreensConcept
Desktop app: Developers describe coding tasks, review diffs, and manage automation experiments—hands-on engineering work requiring keyboard access and code review. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
New run
Ready to run- Repositoryapi-gateway
About this appAI proposal
Steadyloop is a coding and automation agent workspace with a fixed monthly price. You connect a repository, describe a task, and the agent proposes changes you review as a diff. Retries, side experiments and long exploratory sessions cost nothing extra.
It is built for individual developers and technical professionals who use AI every day but have cut back on agents because per-token bills made trying things feel risky. Instead of a bill that grows with every attempt, you see a pace meter. If you use your fast lane up, runs move to a slower queue; they are never charged.
Nothing is merged without your approval. Each run keeps its prompt, model choice and result, so you can repeat a good run or compare two attempts.
- Tagline
- One flat price. Run the agent as often as you like.
- Voice
- PlainSteadyPractical
- Why this name
- Steadyloop names the thing developers want: the try, fix, retry loop repeated freely at a steady, predictable price instead of a meter that runs with every attempt.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Flat monthly price
No per-token or per-call charges. One fee covers your agent runs, so exploring and retrying never feels like spending.
No member yet
Pace meter, not a bill
See your fast-lane use for the month. When it runs out, tasks queue at a slower speed instead of costing more.
No member yet
Diff-first review
Every agent run ends in a diff you accept, edit or reject. Nothing is pushed to your repository without approval.
No member yet
Run history and replay
Each run keeps its prompt, model and outcome. Repeat a good one or compare two attempts side by side.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#1E5A46Pine · primary#F6F1E7Paper · surface#1F2A24Ink · text#E0952BAmber · accent#3F6C8FSlate blue · data
Typography
Aa
Steadyloop
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
One flat price. Run the agent as often as you like.
PricingAI proposal
The material gives no verified competitor prices. One unverified Hacker News comment mentions a subscription at $220/month. These tiers are a starting point to test, not a market-based price.
Trial
Free
- A small fast-lane allowance
- Diff review
- Up to 3 saved recipes
Solo
$20 a month
- Standard fast lane
- Unlimited slow-lane runs
- Run history and replay
- Try-many mode
Heavy
$60 a month
- Large fast lane
- Scheduled recipes
- Priority queue
- Several repositories
Would you pay Solo · $20 a month?
Your answer tells PWAS which prices people accept. It changes no score.
No answers yet.
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- Shared outputs. Users share a read-only run link showing the task, the diff and the agent's steps in a pull request or chat. Teammates and reviewers see how the change was made and can open the page.
- Do they become customers?
- Reviewers who open a run link are often developers who could subscribe, but this is untested. Test how many link viewers start a free trial, and whether they pay at the end of it.
- First customers
- Solo developers and freelancers who already pay for an AI chat subscription and have limited or dropped API-based coding agents because of cost.
- Where to reach them
- Hacker News Show HN: Post the product and a public sample run, and answer comments from developers who describe cost limiting their agent use.
- Developer subreddits: Offer a trial in communities for AI coding tools, where people discuss API bills and look for flat-price options.
- Shared run links: Early users post run links in pull requests and chats, which show the product to other developers.
- First milestone
- Twenty solo developers pay for a month, and at least half of them still run tasks weekly in month two.
Why people already pay for this
- Public claimA developer using LLMs heavily found subscriptions economically viable while API pricing limited their adoption
- Public claimPreviously used coding agents but abandoned them due to cost despite good results
- Public claimUsage patterns differ significantly between subscription and API-based pricing models
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Agent sandboxIsolated container runtime for code tasksAgent runs need a safe place to check out a repository, edit files and run tests.
- This app · Job queueBackground job queue with fast and slow lanesRuns last minutes, and the pace meter needs a queue that ranks them by lane.
RisksAI inference
- CommercialFlat pricing can lose money if a few heavy users consume far more model cost than they pay. The fast-lane and queue limits must be tuned using real usage data.
- PlatformDepends on third-party model providers for prices, terms and availability. A price rise or a change in terms could break the margin.
- AIAgents can produce wrong or unsafe changes. Diff-first review lowers the risk, but poor results would make users leave.
- CommercialBig model vendors already sell subscriptions. Steadyloop must show a clear advantage in agent workflow, not just price.
- DataUsers give access to private code. Needs strict access scopes, deletion on request and clear terms on code retention.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.