Opportunities › Verified analyst stock recommendations for retail investors › Proposed app
Callbook
Follow stock analysts with dated price targets and track records you can check
- Score
- 34
- confidence 57
- Evidence
- 9
- items on the page
- Rivals
- 2
- named in sources
- First version
- 35 d
- estimate
- Type
- Mobile app
- PWA: installs on iPhone and Android
- Market since
- 2010
- Mature market · AI estimate
ScreensConcept
Mobile app: Retail investors check analyst records, review price targets, and set alerts on stocks they hold in frequent short sessions while away from a desk. Sample screens on a phone, in the proposed brand. Their numbers are sample data.
Analyst record
68%
- Closed calls74
- Avg target error9.2%
- Median days to target112
- Open calls11
- Subscribers203
About this appAI proposal
Callbook is a place where independent equity analysts publish dated price targets and build a public record of how those calls turned out. Retail investors subscribe to analysts whose record they trust, and the analyst is paid from that subscription.
Every call is time-stamped when published and cannot be edited afterwards. Hit rate, target error and time to target come from the call history, not from follower counts. You see the record before you pay.
According to the material, existing services score analysts from scraped sell-side calls, and the analysts see none of the investor revenue. Callbook pays analysts directly and keeps a planned 10% commission, so earnings follow accuracy.
- Tagline
- Pay analysts who are right. See the proof first.
- Voice
- PlainCandidPrecise
- Why this name
- A callbook is a ledger of calls. The name says each analyst call is written down, dated and kept, in two plain words.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Locked, dated price targets
Each call has a ticker, target, horizon and thesis. It is time-stamped on publishing and cannot be changed, only closed or followed by a new call.
No member yet
Track record before you subscribe
See every past call, hit rate, average target error and time to target for each analyst, with open and closed calls shown separately.
No member yet
Direct analyst payouts
Subscription revenue goes to the analyst. The platform keeps a 10% commission, shown on every analyst page.
No member yet
Alerts on stocks you hold
Get a push alert when an analyst you follow opens, updates or closes a call on a ticker in your watchlist.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#1F5D4APine · primary#F6F1E7Paper · surface#1F2A24Ink · text#C8742BCopper · accent#2F6F9FSlate blue · data
Typography
Aa
Callbook
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Pay analysts who are right. See the proof first.
PricingAI proposal
The material gives no competitor prices. The $15 Follow price is a starting point to test; analysts will set their own. The 10% commission is the plan stated in the opportunity.
Browse
Free
- Public analyst records
- Closed calls and hit rates
- Watchlist
Follow
$15 a month
- One analyst's open calls
- Push alerts
- Full thesis text
Analyst
Free
- Storefront and public record
- Set your own price
- Platform keeps 10% of revenue
Would you pay Follow · $15 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
- Shared outputs. Analysts share public call pages and record cards on social media and newsletters. Each card shows the dated target, outcome and a link to subscribe on Callbook.
- Do they become customers?
- Readers of a shared call are real prospects who can subscribe to that analyst. Test whether a share of visitors from analyst pages create accounts and pay.
- First customers
- Independent equity analysts who already publish stock ideas on newsletters or social media and have a small paying or free audience, plus their followers.
- Where to reach them
- Hacker News and finance forums: Share the idea and ask independent analysts to publish locked calls and a public record.
- Analyst newsletters: Offer 10 independent analysts a storefront and direct outreach to their existing audience.
- First milestone
- 10 analysts publish locked calls and 50 investors pay for at least one analyst subscription within 90 days.
Why people already pay for this
- VerifiedHacker News post received 15 points and 16 comments
- AI inferenceRetail investors lack reliable signals to identify skilled analysts and often follow poor recommendations
- Public claimExisting platforms score analysts but lack proper incentive alignment with investor success
- Public claimInvestors are willing to pay for curated analyst access when accuracy is verified
- 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 · Market dataLicensed end-of-day price data feedNeeded to score calls against real prices and set the price at call time.
- This app · PayoutsStripe ConnectSplits subscription revenue to analysts and keeps the 10% commission.
RisksAI inference
- RegulatoryPaid stock recommendations may fall under investment adviser or publisher rules in some places. Legal review is needed before launch, with clear disclaimers.
- CommercialTwo sides must be built: good analysts will not join without subscribers, and investors will not pay without proven records. The record starts empty.
- DataScoring needs reliable price data and clear rules for when a call counts as hit, missed or expired. Licensed feeds add cost.
- CommercialAnalysts can run many accounts or publish only safe calls to look accurate. Scoring must account for call count and difficulty.
- PlatformStripe Connect payouts to analysts in many countries need identity checks and may limit who can join.
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.