Opportunities › In-app guidance for AI agents in SaaS › Proposed app
Waymark
Let your in-app AI agent show users exactly where to click
- Score
- 41
- confidence 42
- Evidence
- 5
- 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: Product teams configure AI agent tools, review UI maps, analyze user queries and gaps, and update integrations after releases—ongoing product management work. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
Guide request
Guide ready3 steps
About this appAI proposal
Waymark gives the AI agent inside your SaaS product a tool that shows users where to click. It explores your app in a browser, learns the screens and controls, and keeps that map current as your interface changes.
When a user asks how to do something, your agent calls Waymark with the question and the user's context. It gets back a step-by-step on-screen guide, a short conceptual explanation, or a refusal if the request doesn't fit your product.
It is for SaaS product teams that have deployed or plan to deploy an agent. Instead of searching old help articles or the web, the agent works from the live interface, so users don't have to turn text instructions into clicks themselves.
- Tagline
- Your agent stops explaining and starts pointing.
- Voice
- ClearPracticalCalm
- Why this name
- A waymark is a sign that marks a path. The product marks the path through a SaaS interface for the user.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Learns your UI by exploring it
A browser crawler walks through your app with test accounts and builds a map of screens, controls and flows without manual authoring.
No member yet
One tool call for your agent
Expose a single guide tool to any agent. Pass the user's question and context, and get back a structured answer.
No member yet
Three kinds of answer
Returns a visual step-by-step guide, a conceptual explanation, or a rejection when the request is out of scope or not possible.
No member yet
On-screen highlights
Guides highlight the actual button or field in the user's live session, one step at a time, so no one maps text to UI.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#0F4C4ADeep Teal · primary#F7F4ECPaper · surface#1B2422Ink · text#F2A33ASignal Amber · accent#5E8C61Moss · data
Typography
Aa
Waymark
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Your agent stops explaining and starts pointing.
PricingAI proposal
The material gives no competitor prices. The opportunity suggests usage-based pricing (agent queries, indexed updates, products). These tiers are a starting point to test.
Trial
Free
- One product
- Up to 200 guide requests a month
- Weekly re-exploration
Team
$199 a month
- Up to 3 products
- 5,000 guide requests a month
- Re-exploration on each release
- Query and gap reports
Scale
$799 a month
- Up to 10 products
- 50,000 guide requests a month
- Role-aware guides
- Priority support
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. Guides render inside the customer's product, with a small optional 'Guided by Waymark' mark. Every user who follows a guide sees it, and product teams at other companies may notice it.
- Do they become customers?
- End users are not buyers; the people who see the mark are mostly customers' users. Test whether product managers or engineers who see it ask about it, and whether the mark converts at all.
- First customers
- Product and engineering leads at small B2B SaaS companies (10 to 100 staff) that shipped an in-app AI assistant in the last year and update their UI often.
- Where to reach them
- Hacker News and dev forums: Follow up with people discussing agents that can't guide users in UI. Offer a free trial index of their product.
- Direct outreach: Find SaaS products with an AI chat widget, record a demo of Waymark guiding a real task in their app, and send it.
- Agent builder communities: Publish a sample tool definition and integration guide for common agent frameworks.
- First milestone
- Five SaaS teams paying for a pilot, with at least one live agent using Waymark guides for a month.
Why people already pay for this
- VerifiedHacker News post received 19 points and 8 comments
- Public claimAI agents in SaaS products struggle to guide users through actual UI workflows when no specific tool exists for a task
- Public claimHelp center documentation becomes outdated as products evolve faster
- Public claimUsers dislike having to manually map text-based instructions back to UI
- Public claim
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 · Browser automationHeadless browser workersNeeded to log in to customer apps and explore screens on a schedule to build the UI map.
- This app · Embeddable overlaySmall JavaScript widgetRenders highlights and steps inside the customer's live product.
RisksAI inference
- TechnicalCrawling apps with logins, dynamic elements and gated states is hard. The map may miss flows or be wrong, and a wrong guide is worse than none.
- AIThe model choosing between a guide, an explanation and a rejection may pick wrongly or invent steps. It needs grounding checks against the learned map.
- CommercialCustomers may build a basic version in-house, or an agent platform may add this. Demand rests on public claims and one small discussion thread.
- DataExploring a customer's app needs test accounts and may touch sensitive data. Security review could slow sales.
- PlatformThe overlay must work across frameworks and survive frequent UI changes, and stay clear of customers' security policies.
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.