Opportunities › Unified interface for AI coding agents › Proposed app
Plainroom
One workspace for every AI coding agent, with workflows and approval gates
- Score
- 42
- confidence 64
- Evidence
- 12
- items on the page
- Rivals
- 8
- named in sources
- First version
- 45 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2021
- Emerging market · AI estimate
ScreensConcept
Desktop app: Teams set up shared configurations, build workflows from agent steps, and manage permissions at their computers; approvals on phone are secondary to core workflow design. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
Sessions
All providers connected4 running
About this appAI proposal
Plainroom is a self-hostable workspace where your team runs Claude Code, Codex, OpenCode, Cursor, Grok and other coding agents from one interface. Settings, prompts and permissions are set once and applied to every provider, so switching agents does not mean relearning a tool.
Agents can start other agents as subagents and pass work between them. You chain them into reusable workflows for recurring jobs, such as weekly dependency updates or report drafts, and place human approval gates wherever a person should say yes before anything runs.
It is for technical teams that use more than one agent and do not want to be tied to one provider. Plainroom is a proposal: whether agents can be wrapped consistently across vendors is the first thing to test.
- Tagline
- Use every coding agent. Belong to none of them.
- Voice
- PlainCalmPractical
- Why this name
- A plain room where all your agents work together and a person can still walk in and decide.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
One interface, many agents
Open Claude Code, Codex, OpenCode, Cursor or Grok sessions side by side in one workspace instead of juggling separate tools.
No member yet
Shared configuration
Set rules, tool access and project context once. Plainroom translates them to each provider's format.
No member yet
Subagent handoffs
Let one agent start another, pass context and collect the result, even when they come from different providers.
No member yet
Reusable workflows
Chain agents into named steps, save them, and run them on demand or on a schedule for recurring work.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#1F5C4APine · primary#F6F1E7Paper · surface#1F2A24Ink · text#D9822BAmber · accent, approval gates#3B6EA5Slate blue · data
Typography
Aa
Plainroom
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Use every coding agent. Belong to none of them.
PricingAI proposal
Verified: Cursor lists paid plans from $20 to $40 a month and Copilot from $4 to $21, both with free plans. Tiers sit within that range. The material gives no price for this product, so test them.
Self-host
Free
- Run on your own server
- Unified sessions for your agents
- Shared configuration
- Bring your own provider keys
Team
$15 a month
- Per user
- Saved workflows and schedules
- Approval gates with mobile alerts
- Run history for the team
Business
$30 a month
- Per user
- Single sign-on and audit export
- Roles for who may approve
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
- Users invite others. A workflow is shared among teammates. Colleagues are invited to approve steps, review runs and edit saved workflows, so each team that adopts it brings in more of its members.
- Do they become customers?
- Invited teammates are in the same company and can become paid seats. Test whether approvers who only tap approve ask for full seats or stay free viewers.
- First customers
- Engineering leads at companies of 10 to 50 people who already pay for two or more coding agents and run recurring automations.
- Where to reach them
- Hacker News and GitHub: Open-source the self-host core and post a demo of a cross-agent workflow with an approval gate.
- Developer communities: Offer setup help in agent-focused Discords and subreddits to teams that describe multi-agent pain.
- Direct outreach: Message engineering leads who post about using several agents and offer a free pilot workflow.
- First milestone
- Five teams each run one saved multi-agent workflow weekly for a month, and two pay for Team.
Why people already pay for this
- VerifiedHacker News post received 46 points and 16 comments
- Public claimTeams using AI coding agents are adopting them rapidly for diverse tasks including automation and business process work
- Public claimTeams building workflows with coding agents need to coordinate multiple agents and create reusable automation chains
- Public claimThere is demand for a unified interface across multiple coding agents to avoid vendor lock-in
- AI inference
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 runnerContainerised workers that run agent CLIsEach agent runs in an isolated environment with the team's code, outside the web app.
- This app · Job queueDurable queue for workflow runs and schedulesLong multi-agent runs must survive restarts and wait on approvals.
RisksAI inference
- PlatformAgent CLIs and their terms can change or restrict third-party wrapping, which could break integrations or limit which accounts may be used.
- CommercialAgent vendors ship their own multi-agent features, and an open-source alternative already shows traction. Teams may see little reason to pay.
- TechnicalMapping settings, permissions and subagent calls consistently across very different agents is hard and may leave gaps.
- DataRunning agents on company code needs strong isolation and key storage. A leak would end trust with the buyers.
- CommercialEvidence is mostly public claims from one forum post with modest engagement. Paid demand for self-hosted use is unproven.
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.