B2B SaaS

In-product custom feature generation for SaaS users

Workbench Inside · Let customers build the dashboards and workflows your roadmap never reached

WatchingDraft scoreEmerging market · since 2023 · AI estimate

42PWAS score

Confidence

Based on 9 of 9 factors

Overview

AIThis description was written by a model from public signals. The facts behind it are listed under Evidence.

Problem: SaaS customers have diverse, customized needs that existing products cannot fully address. These requests either languish on roadmaps, require expensive one-off engineering work, or force customers to use external tools and spreadsheets.
Solution concept: A platform embedded in SaaS products that lets end users describe the dashboards, workflows, and small apps they need, and have AI agents generate them automatically. These apps are durable features (not chat-confined), execute in a sandboxed environment, have access to the product's data and API as the signed-in user, match the product's native look and feel, and can be shared and reused across the organization.
Who has it: SaaS companies and their end users. Product teams that want to reduce feature request backlog. End users (managers, analysts, operations teams) who need customized dashboards, reports, automations, and workflows that don't exist in their current software.
How they handle it today: Today, customers either request features from the SaaS vendor (which may take months or not happen at all), build workarounds using spreadsheets and external tools, or ask developers for one-off custom engineering work. SaaS vendors face pressure to customize each customer's experience while managing roadmap complexity.
Why now: Advances in AI code generation and agent capabilities have made it feasible to reliably generate safe, production-ready UI and app code. The maturity of generative UI frameworks and sandboxing technologies (QuickJS) has lowered the bar for embedding this capability into existing products.
How it could charge: Licensing fees from SaaS vendors based on usage volume (number of custom apps generated, users creating apps, or API calls), or tiered pricing by feature set and support level. May also include implementation and integration services.

Score breakdown

A model sorted each factor into a rubric bucket; code turned buckets into numbers. Unknown factors are left out of the score and lower confidence instead.

Market validation

Confidence 70 · 5 evidence · Multiple companies are using this type of solution (Vendo) to enable customer dashboards, automations, and custom logic; the product demonstrates 2000+ daily active users and 900+ applications built, showing active adoption and repeated use cases.

Revenue evidence

Confidence 95 · 2 evidence · Competitors like CopilotKit have published paid plans, but no public claims show direct revenue or paying customers for the embedded custom feature generation category itself.

Growth

Confidence 95 · 3 evidence · The Hacker News engagement (61 points, 22–27 comments) shows modest community interest, and the product has reached 2000 DAU and 900 apps, but evidence does not indicate explosive growth or multiple independent signals of acceleration.

Problem severity

Confidence 70 · 3 evidence · The problem directly blocks or delays critical business workflows: customers either languish on roadmaps, spend money on expensive engineering, or turn to spreadsheets; evidence includes a parts forecasting app preventing approximately $500K in emergency downtime.

Economic proximity

Confidence 70 · 2 evidence · The product reduces engineering cost and enables revenue-protecting workflows, making it a direct cost saver for SaaS vendors and enabling end users to capture value that would otherwise be lost.

Distribution

Confidence 70 · 3 evidence · Custom workflows built in the product are shared and reused within organizations, creating collaboration and network effects; the apps are durable and live in the product, encouraging adoption across teams.

Buildability

Confidence 30 · Judged from the description · Building credible custom app generation requires AI language models, sandboxing infrastructure, API integration with the host SaaS product, and durable UI rendering—complex integrations and non-trivial safety constraints.

Differentiation

Confidence 70 · 2 evidence · The core differentiation is clear: generated apps are durable, live in the product, execute as the signed-in user, and can be shared and reused—unlike chat-confined competitors (CopilotKit, Thesys, Vercel AI SDK) or external platform alternatives (MCP Apps, OpenAI Apps SDK).

Retention and timing

Confidence 70 · 1 evidence · Custom workflows generated by users recur: teams build apps once and reuse them repeatedly; the product achieves 70% 30-day retention, indicating sticky, recurring engagement, and timing is strong as SaaS complexity and customization demand are rising.

Risk penalties

Depends on one platformThe product only works embedded in a SaaS host product and requires deep API integration with that product to function; adoption depends entirely on SaaS vendors choosing to integrate it.−10
Questionable data accessGenerated apps execute with access to the SaaS product's data as the signed-in user; if users generate apps that inappropriately access data outside their permissions, or if the sandboxing fails, there are data governance and compliance risks.−9

Score history

59 · confidence 53 · config v1First score · 9 Oct 2026
42 · confidence 71 · config v1Evidence changed · 27 Oct 2026

Evidence · 16 items

Market validation

Hacker News post received 61 points and 22 comments
Verified
Hacker NewsRetrieved 9 Oct 2026
Customers are using Vendo to let their users create custom dashboards and reports focused on exact metrics they care about.
Public claim
Letting their users create custom dashboards and reports. These are mainly UI-based and focused on letting the user see the exact graphs and metrics they care about
Hacker NewsRetrieved 9 Oct 2026
Customers are using Vendo to let their customers create recurring automations with external tool integrations.
Public claim
Letting their customers create recurring automations. A big thing as well that has been used for these automations is the fact that we connect to external connections, so users have been automating many of their inter-tool workflows
Hacker NewsRetrieved 9 Oct 2026
B2B customers are using Vendo to let their customers customize the product with specific business logic like extra fields or permissions.
Public claim
B2B customers letting their customers customize the product with specific business logic. Often this is simple things like an extra field on a form, or an extra permission, but it is hard for a business to keep up with them otherwise.
Hacker NewsRetrieved 9 Oct 2026
Hacker News post received 61 points and 27 comments
Verified
Hacker NewsRetrieved 27 Oct 2026
Non-technical users at customer sites successfully built critical business workflows using the embedded AI builder, including parts forecasting, document processing, and request triage.
AI inference
The model stated this without a quote found in the source.
Hacker NewsRetrieved 27 Oct 2026
The product has reached production scale with 2000+ daily active users and 900+ applications built.
Public claim
After 2000+ daily users, 900+ apps built, and 70% 30-day retention, today we're opening a public demo.
Hacker NewsRetrieved 27 Oct 2026

Revenue evidence

CopilotKit's pricing page lists 2 paid plans, at $39 a month, plus a free plan and prices on request for larger customers
Verified
Pro Building it out $39 /month · Team Whole team building $100 /seat/month Up to 5 seats. Each active organization member or pending invitation uses one seat. · Enterprise Production at scale Custom tailored pricing custom terms
copilotkit.aiRetrieved 9 Oct 2026
CopilotKit states on its own website: Trusted by developers at companies worldwide
Public claim
Trusted by developers at companies worldwide:
copilotkit.aiRetrieved 9 Oct 2026

Problem severity

SaaS 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 claim
every customer needs something slightly different. One wants a new report and another needs a workflow that only makes sense for their team. These requests either sit on the roadmap, become one-off engineering work, or force the customer into spreadsheets and external tools.
Hacker NewsRetrieved 9 Oct 2026
SaaS vendors serving large businesses face pressure to support diverse customer workflows, forcing a choice between lengthy engineering roadmaps or unsupported customer needs.
Public claim
When you sell software to large businesses, you realize that each customer needs their own workflow and features. Traditionally, this either means long engineering roadmaps or the customers end up using workarounds.
Hacker NewsRetrieved 27 Oct 2026

Economic proximity

Custom workflows built with the tool delivered measurable business value, with one parts forecasting app preventing approximately $500K in emergency downtime.
Public claim
He says it's prevented ~$500K in emergency downtime.
Hacker NewsRetrieved 27 Oct 2026

Differentiation

Unlike competing generative UI solutions confined to chat, Vendo's apps are durable and can be shared, reused, and forked.
AI inference
The model stated this without a quote found in the source.
Hacker NewsRetrieved 9 Oct 2026
Vendo differs from other generative UI approaches by living in the product and acting through the API as the signed-in user, making apps durable rather than confined to chat.
Public claim
Vendo lives in your product and acts through your API as the signed-in user, so what it makes is durable: real apps users keep, pin, and run on triggers while they're away, and not components that are merely confined to a chat.
Hacker NewsRetrieved 9 Oct 2026
A SaaS platform can reduce engineering overhead and increase customer satisfaction by enabling customers and support teams to build their own features instead of consuming engineering roadmap capacity.
Public claim
If you're serving a variety of use cases, you probably deal with a lot of custom requests and Gigacatalyst will save you time and increase your bottom line.
Hacker NewsRetrieved 27 Oct 2026

Retention and timing

The product achieves 70% 30-day retention, indicating meaningful user engagement.
Public claim
After 2000+ daily users, 900+ apps built, and 70% 30-day retention, today we're opening a public demo.
Hacker NewsRetrieved 27 Oct 2026

In-product custom feature generation for SaaS users

Overview

Build this business

Verdict

Score breakdown

Risk penalties

Score history

Validation gate

Evidence · 16 items

Market validation

Revenue evidence

Problem severity

Economic proximity

Differentiation

Retention and timing

Market

Existing products

Build

Legal reconstruction check

Community