Opportunities › In-product custom feature generation for SaaS users › Proposed app
Workbench Inside
Let customers build the dashboards and workflows your roadmap never reached
- Score
- 42
- confidence 71
- Evidence
- 16
- items on the page
- Rivals
- 6
- named in sources
- First version
- 60 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: Users build dashboards and automations through longer composition workflows and managers review controls and usage from their desk. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
New app
Building draft- PromptWeekly overdue parts
About this appAI proposal
Workbench Inside is an embeddable builder for SaaS vendors. Your users describe a dashboard, report, automation or small app in plain words. An AI agent builds it, and it appears inside your product as a lasting feature, not a chat reply.
Each app runs in a sandbox and acts through your API as the signed-in user, so it sees only what that person may see. It takes on your product's look through your design tokens. Teams can share, reuse and copy apps across the organization.
For product teams, it turns the feature request backlog into something customers and support staff can solve themselves, without one-off engineering work or side spreadsheets.
- Tagline
- Your roadmap, finished by the people who use your product.
- Voice
- PlainPracticalCalm
- Why this name
- A workbench is where people make what they need. Inside says the tools live in the product, not in a separate chat or app.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Describe it, get a working app
Users write what they need. The agent builds a dashboard, report, automation or small tool and adds it to the product's navigation.
No member yet
Acts as the signed-in user
Apps call your API with the user's own session and permissions. They cannot read or change anything that user could not.
No member yet
Sandboxed execution
Generated code runs in an isolated runtime with no network or storage access except the calls you allow.
No member yet
Matches your look and feel
Apps use your design tokens and components, so they read as native features and not as add-ons.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#0F3D3EDeep Pine · primary#F7F4ECPaper · surface#1B2224Ink · text#E8A33DAmber · accent#C4572FClay · data
Typography
Aa
Workbench Inside
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Your roadmap, finished by the people who use your product.
PricingAI proposal
Shape follows CopilotKit's verified pricing page: a free plan, paid plans from $39 a month, and prices on request for larger customers. Other price points are a starting point to test.
Sandbox
Free
- Test in staging
- Limited app generations
- Community support
Launch
$39 a month
- Production embedding
- Usage-based app limits
- Admin controls
- Email support
Scale
Contact us
- High volume
- Custom connectors
- Security review
- Priority support
Would you pay Launch · $39 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
- Visible inside customers’ products. The builder runs inside each vendor's product. Their users see a small 'Built with Workbench Inside' mark on the builder and shared apps, and colleagues find and fork apps in the library.
- Do they become customers?
- Users of the vendor see the name but are unlikely to buy it; the buyer is the vendor's product team. Test whether the mark leads other SaaS product leads to ask for a demo.
- First customers
- Product leads at B2B SaaS companies with 50 to 500 staff, in one vertical such as operations or supply chain software, who have a long backlog of customer feature requests.
- Where to reach them
- Founder outreach: Contact product and customer success leads with a demo built on their public API docs.
- Hacker News and dev communities: Post a technical write-up of the sandbox and permission model, with a live demo.
- Product leader communities: Share backlog reduction case notes in product management Slack groups.
- First milestone
- Three SaaS vendors in one vertical pay for a pilot, and their users build at least ten apps in the first month.
Why people already pay for this
- VerifiedHacker News post received 61 points and 22 comments
- Public claimSaaS vendors face the problem that every customer needs something slightly different, and feature requests either sit on the roadmap, become one-off engineering work, or force customers into spreadsheets.
- Public claimCustomers are using Vendo to let their users create custom dashboards and reports focused on exact metrics they care about.
- Public claimCustomers are using Vendo to let their customers create recurring automations with external tool integrations.
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 · Sandboxed runtimeJavaScript sandbox such as QuickJS in WebAssemblyRuns generated app code in isolation with only approved calls exposed.
- This app · Code-generation modelHosted LLM with structured outputTurns user prompts into app code that uses the vendor's API and design tokens.
RisksAI inference
- TechnicalGenerated code must never exceed the user's permissions. Sandbox escapes or API scope mistakes would harm the vendor's customers, so security testing is needed before any launch.
- AIGenerated apps can show wrong numbers or break when the vendor's API changes. Users may trust them anyway, so they need tests, previews and clear labels.
- CommercialVendors may build this themselves, or hesitate to open their API to generated code. Sales cycles with product and security teams may be long.
- CommercialResults quoted in the evidence, such as usage and retention, are public claims from a competing launch post and are not verified here.
- DataPrompts and customer data pass through a model provider. Vendors will ask for data handling terms, retention limits and regional options.
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.