Opportunities › Real estate transaction management and CRM › Proposed app
Doorstep Desk
Deals, contacts and deadlines for independent agents and small teams
- Score
- 54
- confidence 38
- Evidence
- 1
- items on the page
- Rivals
- 1
- named in sources
- First version
- 35 d
- estimate
- Type
- Desktop and mobile
- PWA: on computers and phones alike
- Market since
- 1999
- Mature market · AI estimate
ScreensConcept
Desktop and mobile: Agents review detailed deal records and send documents from the office, then check deadlines and update client status in the field on a phone. Sample screens on a computer and a phone, in the proposed brand. Their numbers are sample data.
Today
2 deals need attention5 tasks
About this appAI proposal
Doorstep Desk is a transaction manager and CRM for U.S. real estate agents and small brokerages. Every contact, deal, date and document sits in one record, so an agent can see what is due this week without opening three tools.
It is built for agents who find existing systems heavy to set up and costly to leave. Pricing is shown up front, setup takes minutes, and you can export all your contacts and deals as files at any time.
Clients get a simple read-only link showing their key dates and the documents they still need to sign, so fewer status calls and texts reach the agent.
- Tagline
- Every deal and every client, one calm desk.
- Voice
- CalmPlainPractical
- Why this name
- A doorstep is where a deal starts and ends with a handover of keys. Desk says it is a place to work. Both are plain, short words.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
One record per deal
Parties, price, dates, tasks and files live on a single deal page linked to the contacts involved.
No member yet
Deadline timeline
Pick a template and key dates such as inspection and closing fill in from the contract date.
No member yet
Light CRM
Track buyers, sellers and past clients with notes, follow-up reminders and a simple pipeline view.
No member yet
Client status link
Share a read-only page with milestones and open to-dos. No client login needed.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#14524FDeep Teal · primary#FAF6EFWarm Paper · surface#1F2A2AInk · text#C4572FBrick · accent#8DB09ASage · data
Typography
Aa
Doorstep Desk
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Every deal and every client, one calm desk.
PricingAI proposal
The material gives no competitor prices. It shows one similar product earning about $4,482 a month from roughly 70 subscribers, so these tiers are a starting point to test.
Solo
$29 a month
- 1 agent
- Unlimited contacts
- Up to 15 active deals
- Client status links
Team
$79 a month
- Up to 5 agents
- Unlimited deals
- Team view
- Shared templates
Brokerage
$199 a month
- Up to 20 agents
- Broker dashboard
- Priority support
- Bulk import
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.
What products in this market make
- $4.5K Per Month SaaS Business in the Real Estate NicheVerified$4,482 a month, worth about $87,000 at that multiple · Empire Flippers
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. Agents send clients a read-only status link for each deal. Clients, co-agents, lenders and title staff see it, with a small 'Made with Doorstep Desk' footer.
- Do they become customers?
- Clients mostly buy rarely, but co-agents and lenders who see the link may become users. Test how many link viewers who are agents start a trial.
- First customers
- Independent U.S. agents closing 10 to 40 deals a year, in one state, who currently track deals in spreadsheets or a heavy tool.
- Where to reach them
- Local agent groups: Offer free setup help in state and city agent Facebook and association groups.
- Search content: Publish state deadline checklists and templates that lead to a free trial.
- Broker outreach: Offer small brokerages a pilot for their top five agents.
- First milestone
- Ten paying agents in one state within 60 days of launch, with at least half still active in month two.
Why people already pay for this
- VerifiedA business in this market sold on Empire Flippers averages $4,482 a month in revenue ($2,551 net profit), figures vetted by the broker
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 · File storageObject storage for deal documentsDeal files need private storage with expiring access links for clients.
- This app · Scheduled jobsCron-style job runnerDeadline reminders and follow-up nudges must run on time by email and push.
RisksAI inference
- CommercialThe material shows a similar product with 7.4% monthly churn. Agents may leave at the same rate unless Doorstep Desk becomes part of their daily routine.
- CommercialAgents may already use their brokerage's required system, so they would need to pay for a second tool.
- RegulatoryStoring contracts and client details may carry state record-keeping and privacy duties that need review before launch.
- TechnicalDeadline templates differ by state and contract form, so wrong dates could cause real harm.
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.