Picture this

Who it is for

Ife enters an ETH long with a written thesis and an invalidation level. When the position closes, the app scores whether the thesis played out and builds a reasoning record she can share with a fund.

Two ways to own it

What you get

Base$149

$37 deposit to reserve

Thesis form linked to wallet positions, onchain hash commit, auto grading at close, shareable profile

You choose: chain
You choose: name and logo
You choose: accent color

Customfrom $900

Built around you

Reshape it entirely: new features, your flows, your brand end to end, integrations you need. We scope it with you.

Everything in Base
Custom features and design
Priority build

Why it is new

What exists today, and what this does differently

What is new

Commit-before-outcome trade journaling exists in an early open source project; grading reasoning on top is uncommon.

Closest things out there

BausBank vtr-core seals salted hashes of trading decisions onchain before outcomes, but it does not grade reasoning, and offchain journals like Tradervue are unverifiable.

Checked with web searches in October 2026. A search is not proof that nothing similar exists, and the market moves fast, so we recheck before every build.

What it unlocks

The human in it

Mines judgment and reasoning into a provable skill.

The Regatta Board

Races it can enter

grant · Base · rolling

Base Builder Grants

rolling, retroactive

Official page ↗

Existing shipped projects OK

Their rule on existing code: Existing shipped projects OK (retroactive)

grant · Optimism Collective · rolling

Optimism Grants Council

per season

Official page ↗

Superchain app; existing projects OK

Their rule on existing code: Existing projects OK

What you own

The whole app, not a starter kit.

The complete Thesis Vault app: traders write why they enter a trade, seal it onchain before entry, and are graded at close on whether their reasoning played out, building a verifiable record of judgment, with plans and checkout built in.

Base price · $149

The user app, complete

Every buyer gets the same finished app. Basic branding and copy changes come through a quick form.

Three step onboardingHome

Shown once: write why before you enter, seal it with a timestamp, graded on reasoning not luck.

Next action and box wallHome

Reasoning score, calls this month, zero edits, and twelve weeks of graded letters.

Thesis formThesis

Checkable reasons, invalidation, target and confidence; weak evidence flagged.

Seal before entryThesis

Salted hash commit with the salt kept on the phone; a drawn envelope seals at the block.

More than 5 calls a monthThesis

Gated behind Pro record.

The weekWeek

Up for a different reason, down through invalidation, or up because of the reasons, on a drawn price line.

Grade letterGrade

Reasons that played out, plan discipline and calibration, with evidence per reason.

Grade receipts and share cardGrade

Commit and grade attestation onchain; thesis and salt stay private; worst trade best grade card.

Calibration historyRecord

Reasoning against win rate over time. Gated behind Pro record.

Public verified profile and exportRecord

Shareable profile and signed export for a fund. Gated behind Pro record.

Plans and permissionsRecord

Pricing from the owner paywall through the USDC checkout.

Open the full app demo

Add-on

Owner console

Your admin side: revenue, paywall editor, users, rules and the agent log.

Revenue and paywall editorRevenue

Recurring revenue, Pro and desk counts, USDC payments, payment methods, live tiers and gates.

RulesRules

Grading weights, seal before entry, salt on device, network.

Grader log and roadmapAgent

What failed and the fix, running costs, and priced v2 and v3 builds.

Top-up

Growth and referrals

Referral and growth mechanics, switched on when you are ready to grow.

Growth loopsGrowth

Review nights, counterintuitive share cards, funds asking for records, desk invites.

The money path, built in

How it earns for you

A free journal with a monthly call limit, a Pro record for traders who want a public verified profile, and desk plans for groups graded on one rubric.

Free journal$0Up to 5 sealed calls a month, private grades and the Sunday digest

Pro record$12 a monthUnlimited calls, public verified profile, calibration history and export for a fund or employer

Desk or community$99 a monthA group of traders seal and are graded on the same rubric, with a private board on reasoning, never on returns

No trading fees. Each call costs a cent or two of gas plus a few cents of model work at close.

Prices are yours to set. Illustrative, not a promise of income.

Growth loops, built in

How it spreads

The share card leads with the counterintuitive line: my worst trade got my best grade
Funds and trading communities ask applicants for a Thesis Vault record
Every new desk member invites the next
A Sunday digest with reason hit rates and calibration

Roadmap · build the next phase with us

Where it goes next

v1 included

The full journal app

Thesis form with salted hash commit
Position linking and seal before entry check
Deterministic and model assisted grading
Grade attestation and verified profile
Plans and checkout

Included

Desk groups

Shared rubric for a group
Private reasoning board, never on returns
Coach comments on revealed theses
Arbitrum and Solana positions

Add-on from $500

Fund applications

Verified record export for funds
Fund side review portal
Rubric marketplace
API for prop firms

Add-on from $1,100

For investors and grant reviewers

The pitch, ready

Write why you entered a trade, seal it with a timestamp, and get graded on reasoning, not luck.

Problem: Trading records only show PnL, which mixes skill with luck, and anyone can edit a journal after the fact.

Solution: A sealed thesis committed before entry, automatic checks of each stated reason at close, discipline and calibration scores, and attested grades that build a shareable record.

Why now: Cheap commits on Base, positions readable from wallets, and small models that can turn free text reasons into checkable claims.

Market: Self directed traders who want to improve or be hired, plus trading communities and funds screening talent.

The ask: Pilot with two trading communities and three small funds that will accept records.

Funding is never guaranteed. Check each program's rules.

For hackathons and demo days

Your 2 minute demo

Home: meet Ife in Ibadan before work, about to go long ETH.
Thesis: pick checkable reasons, set invalidation and target, and seal before entry.
Week: play the week where price falls through her invalidation.
Grade: a losing trade with a high reasoning grade, and the share card.
Week and Grade: replay the lucky week and see a profitable trade graded low.
Record: unlock Pro record through the USDC checkout for calibration and a public profile.
Owner Revenue: change the Pro price and preview the Plans sheet.
Owner Growth and Roadmap: run a review night, then request desk groups.

Many hackathons require code written at the event. See the Regatta Boardfor each race's rule.

Make it entirely yours

Custom work from $900: your own grading rubric, exchange or broker imports, a desk branded deployment, or fund review integrations. Scoped on a call.

Custom from $900

BLUEPRINT

Why it matters and how it really works

The need

Traders who want to be taken seriously by a fund, a community or themselves have no way to prove what they thought before a trade. PnL screenshots mix skill with luck, and journals can be edited after the fact.

What exists and what is new

Commit before outcome trade journaling exists: BausBank's open source vtr-core seals salted hashes of trading decisions onchain before outcomes. Offchain journals such as Tradervue are useful but unverifiable. What vtr-core does not do, as far as we found, is grade the reasoning itself at close, claim by claim, separately from profit. That grading layer and the shareable reasoning record are what is new here; the sealing idea is not.

The data it runs on

The written thesis (reasons, invalidation, target, horizon, confidence), a salted hash committed on Base, the linked position's entry and exit from the user's wallet or exchange export, public market data for each named reason (price, funding, ETF flow reports, event calendars), and the grade attestation.

1.The mission

Make good judgment provable, so traders are trusted for how they think and not for one lucky screenshot.

2.Why people can't resist it

Your worst trade can be your best grade Exiting where you said you would scores well even when it loses. That flips the usual shame of a loss into proof of discipline.

Nobody can be right in hindsight The hash is on Base before the entry. Once sealed, not even the author can quietly edit the reasons.

A Sunday review that teaches you A weekly digest shows which of your reasons actually hold and whether your 70% calls land about 70% of the time.

3.How it works for real

Wallets and positions: Privy login with an embedded or connected wallet. Positions are read from the user's onchain trades on Base, Arbitrum or Solana, or from a read only exchange CSV import. No trading permissions are ever requested.

Commit: The thesis is hashed with a private salt on the device and committed to a minimal contract on Base, storing only hash and block time. A reveal later checks the text against the hash.

Ordering check: The indexer compares the commit block with the position's entry. A thesis sealed after entry is labelled a journal note, not a call.

Grader: At close, each stated reason is mapped to its data source and window and checked by deterministic rules where possible (price levels, funding, flows). A model (Claude Haiku 4.5 class) parses free text reasons into checkable claims; a larger model (Claude Sonnet class) writes the plain language review. PnL is displayed but excluded from the score by design.

Attestations: The grade, rubric version and commit reference are written as an EAS attestation on Base, so a record can be verified without trusting the app's database.

Profile and digest: A public profile lists sealed calls, plan followed rate and calibration, with text revealed only for calls the user chooses. Sunday digest by email or push.

4.Cost per use and pricing

Per call: two small Base transactions (commit and grade attestation, the reveal can be batched) at roughly $0.002 to $0.01 each, plus about 3,000 tokens of model work at close, around $0.01 to $0.05 depending on the model tier. Example month for 1,000 active traders sealing 4 calls each: about $40 to $80 in gas, $40 to $200 in model calls, plus $50 to $100 for hosting, indexing and market data. Prices move; verify current gas and model rates before launch.

Free journal $0

Up to 5 sealed calls a month, private grades and the Sunday digest.

Pro record $12 per month

Unlimited calls, public verified profile, calibration history and export for a fund or employer.

Desk or community $99 per month

A group of traders seal and are graded on the same rubric, with a private leaderboard on reasoning, never on returns.

5.Growth loop

The share card leads with the counterintuitive line (my worst trade got my best grade), which spreads further than another PnL screenshot. Funds and trading communities ask applicants for a Thesis Vault record, which pulls new traders in, and every new member of a desk invites the next.

6.Risks and guardrails

Financial promotion: Public theses can look like signals. Keep it a record, not a feed: no copy trading, no alerts on open calls by default, clear not advice wording, and no ranking by returns.

Grading errors: A model can misread a reason or pick the wrong data window. Publish the rubric, show the evidence for each claim, version every grade, and let users appeal a grade with a human review.

Gaming: People may seal many vague theses and reveal only the good ones. Count unrevealed commits against the record and penalise vague reasons that cannot be checked.

Privacy: Linking a wallet exposes position sizes. Sizes stay offchain, profiles can use a separate wallet, and revealed text never includes balances.

Data dependence: Reasons like ETF flows depend on third party data that can be late or revised. Grade on the data as of the horizon end and record the snapshot used.

7.Build order

Thesis form with reasons, invalidation, target, horizon and confidence, plus salted hash commit on Base
Position linking for Base wallets and CSV import, with the seal before entry ordering check
Deterministic checks for price based reasons and invalidation discipline
Model assisted parsing of free text reasons into claims, with evidence shown
Grade attestation on EAS and a shareable verified profile
Sunday digest with reason hit rates and calibration
Arbitrum and Solana positions, then desk groups

8.Where this is going

Now
One trader seals a thesis before entering and gets graded on whether her reasons held.
Next
Calibration over hundreds of calls becomes a portable reasoning score a trader owns.
Later
Funds, research teams and DAOs hire from verified reasoning records instead of screenshots and follower counts.
The world it builds
Judgment becomes a provable skill. Talent from Ibadan to Medellín can be found by how well it thinks, not by who it knows.

Costs and tools are estimates at the time of writing. General information only, not legal or financial advice.

OWNER PLAYBOOK

Own it, then chart your voyage

Nine routes from one vessel. Tap a port to open its chart.

Why own Thesis Vault

Anyone can screenshot a winning trade. Very few can prove they wrote down why before the market moved. When Thesis Vault is yours, the sealed reasoning records, the grading rules and the trader community all sit under your name and your wallet, so you own the most credible track record format in your circle instead of renting space on someone else's leaderboard.

What’s stopping you?

“I can't code. Can I really run this?”

Yes. The thesis form, onchain hash commit and grading are built. You choose the chain, name and colors, deploy from your wallet with the guide, and your job is getting traders to write theses. If something breaks, the support thread is there.

“Won't traders just lie about their reasoning?”

They cannot change it after the fact. The thesis is hashed and timestamped onchain before the outcome, so a record of past calls is fixed. People can still write vague theses, which is why grading rewards a clear invalidation level and penalizes fuzz.

“What if nobody wants their bad calls public?”

Make privacy the default. Theses stay sealed until the trader chooses to reveal. Many traders reveal only to a fund or mentor at first. Public profiles come later, once they see their reasoning score is something to be proud of.

“Is this financial advice or a signals service?”

No, and keep it that way. It records and grades the user's own reasoning. Do not publish calls as recommendations, do not charge for copying trades, and say so clearly on your site.

“What if the grading feels unfair?”

Publish the grading rules in plain words and let users dispute a grade with a note. Treat early disputes as product research; the first twenty will tell you exactly how to make the scoring fairer.

The million-dollar ladder

Traders pay a monthly subscription for sealed theses, grading and a shareable reasoning profile. Later, trading communities, mentors and small funds pay for team plans to review applicants or members by verified reasoning rather than screenshots.

$120

$4,500

$30,000

$85,000

First 10 traders

10 paying traders

$12 per month

One trading community on board

300 paying traders

$15 per month

Known reasoning record in a niche

2,000 paying traders

$15 per month

Million dollar run rate

5,000 paying seats across traders and team plans

$17 per seat per month

Team plans for trading groups and prop style communities that want to rank members by reasoning, not PnL.
A 'share my record' link that traders paste into fund or job applications, which markets the app for you.
Monthly reasoning challenges with a public leaderboard of revealed theses.
Partnerships with trading educators who use grades as homework feedback.

Illustrative stages, not a forecast. Results depend on you and the market; nothing here is guaranteed.