Built for the Meta Global AI Developer Hackathon — every AI feature runs on Meta's Muse Spark, Muse Spark Open, Muse Image, SAM 3.1 and Muse VoiceWhat we built
Meta AIFeaturesHow it worksCapabilitiesPricingFAQLog in
Meta Hackathon Evidence-first idea validation on Muse Spark

Find your next SaaS idea. Validate it before you build.

Discover opportunities that fit you, research competitors with cited sources, and test real customer demand — in one AI workspace built for founders.

Every claim citedCompetitor researchReal validation experiments
One workspace, from first idea to launched product
Discover01Research02Validate03Plan04Brand05Launch06Grow07
Why Startum

The mistakes that sink most first SaaS products.
And how we help you avoid them.

Most first products don't fail because of bad code. They fail because of what happened before the code. Startum turns each of these traps into a clear step.

  1. 01
    The mistake

    Building for months before anyone asks for it

    You write code for months, launch, and hear nothing. The idea was never tested.

    How Startum helps

    Validate my idea runs market research, a competitor scan and real customer voices in one click, and ends with a Go, Pivot or Drop verdict before you write any code.

    Validate my idea
  2. 02
    The mistake

    Solving a problem only you have

    The pain feels huge to you, but customers don't feel it or won't pay to fix it.

    How Startum helps

    Market voices and Gold Mine collect what real people say on Reddit, YouTube, reviews and forums, with links, so you build on pains customers already complain about.

    Market voices · Gold Mine
  3. 03
    The mistake

    “There are no competitors”

    No competitors usually means no market, or that you haven't looked yet.

    How Startum helps

    The competitor scan maps direct, indirect and DIY alternatives, with prices only when a source shows them, and shows the gap you can own.

    Competitors
  4. 04
    The mistake

    Targeting everyone

    A product for “small businesses” speaks to nobody, and your marketing never lands.

    How Startum helps

    You get one sharp target customer, a micro-SaaS fit check, and how many customers you need to reach $1k, $5k and $10k a month.

    Verdict · Micro-SaaS fit
  5. 05
    The mistake

    Too many features in version one

    The MVP grows for months and never ships, or ships confusing.

    How Startum helps

    The MVP plan splits must-haves from later, writes user journeys and acceptance criteria, and exports a kit for Claude Code, Cursor or any AI coding tool.

    MVP plan · Design
  6. 06
    The mistake

    Guessing the price

    Too cheap and you can't grow; too expensive and nobody tries it.

    How Startum helps

    A suggested price from the competitor prices we actually found, with the reasoning shown, so you start from evidence instead of a guess.

    Pricing evidence
  7. 07
    The mistake

    Launching to silence

    Marketing starts after the build, so day one has no audience.

    How Startum helps

    A themed waitlist landing page, tracked visits and signups, and a Marketing Studio plan with ready-to-post assets, so you have an audience before launch.

    Landing pages · Marketing Studio
  8. 08
    The mistake

    Drowning in courses and conflicting advice

    Hundreds of hours of videos and expensive mentors, and still no clear next step.

    How Startum helps

    One step-by-step path from idea to launch, with AI help at every step and your next move always shown.

    Start here guide
Start free, avoid all eight No credit card. Your ideas stay private.
Built with Meta AI

One idea in.
A validated startup out.

Built for the Meta Global AI Developer Hackathon. Five Meta models work together so a founder can go from a spoken idea to evidence, a verdict, a brand and a launch plan in minutes.

Muse Spark

The brain: plans, calls tools, reads screenshots, designs the product's screens and writes its code.

Muse Spark Open

Meta's open-weights model on Baseten: reads sources, competitors and forum threads 3–6× faster.

Muse Image

Renders the logo mark, the landing hero and one ad per channel from an art-director brief.

SAM 3.1

Segments the logo and cuts it out onto a transparent background.

Muse Voice

Transcribes spoken pitches and customer interviews, with who said what and timestamps.

How it works, step by step

  1. Muse Voice + Muse Spark

    1. Say your idea out loud

    Record a pitch in the browser. Muse Voice writes it down, Muse Spark turns it into a project and keeps your own doubt (“would they pay?”) as the question to answer.

    53 s pitch → project in 16 s
  2. Muse Spark · tool calling

    2. The Autopilot plans its research

    An agent with ten tools decides what to do next and narrates each step on a live timeline: research, evidence, web search, plans, brand, landing page, playbook, verdict.

    10 tools · live trace
  3. Muse Spark Open on Baseten

    3. It reads the market

    Research sources, competitor pricing pages and Reddit / Hacker News threads are read in parallel. A customer quote is kept only if it appears word for word in the source.

    Extraction 3–6× faster on open weights
  4. Muse Spark + web search

    4. It checks the open questions

    For the one to three questions that decide the idea (real prices, existing tools, regulations), it searches the web and reads the results.

    Up to 4 searches, repeats cached
  5. Muse Spark · verified

    5. It decides: Build, Pivot or Drop

    Every reason must cite a URL the run actually read. Reasons with unseen URLs are thrown out, and a verdict with fewer than two verified reasons is sent back.

    0 invented sources
  6. Muse Spark + Muse Image + SAM 3.1

    6. It designs the brand

    Muse Spark writes the art direction from real customer quotes, Muse Image renders logo, hero and ads, SAM 3.1 cuts the logo out. Headlines use the customers' own words.

    5 visuals in ~30 s for $0.06
  7. Muse Spark · structured output

    7. It sets up the launch

    A branded landing page with a waitlist to test demand, and a launch playbook: six stages with gates, a founder-led sales plan, SaaS metrics and week-by-week build prompts.

    Revenue maths computed by code
Validation Autopilot · live traceReal measured run
  • read_projectDaycare compliance deadline tracker · no research yet
  • run_market_validation3 of 3 research steps finished
  • read_evidenceSources, competitors and customer quotes
  • web_search ×2The open questions that decide the idea
  • generate_business_modelTiers anchored on verified competitor prices
  • generate_mvp_planMust-haves, journeys, data model, milestones
  • design_brandBrand “Bindly” with 5 visuals (logo, hero, ads)
  • create_landing_pageBranded waitlist page with the Muse Image hero
  • submit_verdictBUILD · 67% · 8 cited reasons · 0 dropped
4 min 55 sidea to verdict
$0.47total AI cost
8 / 8reasons verified

Verifiable by construction

  • Every verdict reason cites a URL the agent read during the run
  • Customer quotes are kept only if they appear word for word
  • Prices only from verified competitor pages, never guessed
  • Revenue maths computed by code from your pricing
  • Targets and benchmarks are labelled as assumptions
  • Credits are refunded automatically when a job fails

Everything Startum does with Meta AI

Validation Autopilot

From a bare idea to a cited Build / Pivot / Drop verdict, with plans, brand and a landing page for ideas worth building.

Muse Spark 4 min 55 s · $0.47

Design → clickable prototype → code

Muse Spark designs every screen like a product designer in Figma, from the research, MVP plan, Brand Kit and customers' words. Buttons link the screens into a clickable prototype. Approve it and Muse Spark writes a runnable Next.js app: one page per screen, a data model with sample data, your brand. Edit any file or ask Muse Spark for changes; every version is type-checked and fixed until it compiles, then runs on StackBlitz in one click.

Muse Spark 3 screens + code in ~2.5 min · ~$0.25 · checked: 0 problems

Pitch it out loud

Speak for a minute; get a structured project and an Autopilot focused on your own question.

Muse VoiceMuse Spark Project in ~15 s

Voice interviews

Upload a customer call: speakers separated, verified pain and willingness-to-pay quotes that play back from the moment they were said.

Muse VoiceMuse Spark 3 min call → 8 turns in 35 s

Brand visuals

Logo cut out on transparency, a full-bleed landing hero and channel ads, all from the research.

Muse ImageSAM 3.1Muse Spark 5 visuals · $0.06

Page review

Drop a screenshot of your page or a competitor's: issues pinned on the image, prices read off the page, where you can win.

Muse Spark vision Pins on the exact element

Launch playbook

Idea to market in one plan: stage gates, ICP, outreach, discovery, demo, objections, funnel, LTV and AI-coding prompts.

Muse Spark ~60 s · $0.06

Copilot ideas → projects

Ask the Copilot for ideas; every idea gets Create project and Validate with Autopilot buttons.

Muse Spark Two clicks to a verdict

Gold Mine pain mining

Finds what customers already complain about on Reddit, Hacker News and forums, quotes checked word for word.

Muse Spark Open 11 verified quotes · 4 clusters

Launch videos for organic social

A vertical captioned video and a native post for TikTok, Reels, Facebook and LinkedIn, from your research and customers' words. Post it from Startum or download it.

Muse SparkMuse Image 18 s video in 57 s · ~$0.06

Everything else, on Muse Spark

Research reports, competitors, business model, MVP plan, marketing plans and assets, interview scripts, Copilot.

Muse Spark 36 / 37 end-to-end steps pass

Measured during the hackathon (end-to-end test runs and real Autopilot runs). Read exactly what we built and how →

Ideas that fit you

Your skills, budget, time and goals shape every suggestion — each with a problem, a customer and a first experiment.

Illustration
Your skills
Budget
Time
Goals
Idea + first experiment

Cited market proof

Every statement is labelled FACT, ANALYSIS or ASSUMPTION. Facts link to the source they came from.

Illustration
r/Forum threadsource stored

“Matching custom fields between our CRM and database takes hours every week.”

Quoted from a stored sourceFACT
★Review sitesource stored

“The pricing jumps sharply once you need more than a few connectors.”

Quoted from a stored sourceFACT
AIInterpretation

Smaller teams may be underserved by current pricing tiers.

Based on 2 facts aboveANALYSIS
?Hypothesis

Teams would pay a monthly fee for a self-serve sync tool.

Needs an experimentASSUMPTION

Competitor map

Direct, indirect and alternative solutions with strengths and weaknesses — and prices only when found.

Illustration
Competitor A
Competitor B
Spreadsheet
Agency
Your gap?
Price →Fit →
Gold Mine

Find opportunities in what
customers already complain about

No idea yet? Explore the market map. Have one? Skip straight to the evidence. Either way, every idea traces back to real public discussions.

01

Market

Drill down from Health, Wealth or Relationships to a specific niche.

02

Demand

Real search volume and multi-year trends, classified by fixed rules.

03

Pains

Short verbatim quotes from recent, active discussions — each with its link and date.

04

Ideas

Ideas generated only from ranked pain clusters. No link to a pain, no idea.

05

Landing page

Waitlist copy written from customers' own words, ready to test.

Illustration

“I wish there was a simple tool that just did this without a 3 hour setup.”

Discussion thread · community · date · source link stored
→
Pain cluster · ranked by frequency, intensity, recencySetup takes too long for small teamsBased on real quotes
Start mining
How it works

From vague idea to tested plan

Six steps, one project. Every step reuses what you learned in the previous one, so your pricing, plan and pitch never contradict your research.

Example
Ideas for your profile3 generated
CRM ⇄ database field sync for RevOps
Fits skills
Invoice reminders for freelancers
Fits budget
Uptime digest for agencies
Fits time
Research · sourcesevery fact linked
FACTTeams describe manual field mapping weekly
FACTReviews mention steep connector pricing
ANALYSISSmall teams may be underserved
ASSUMPTIONWill pay monthly for self-serve sync
Competitors4 found
Competitor A · directpricing sourced
Competitor B · directpricing sourced
Spreadsheets · alternativefree
Competitor C · indirectpricing not found
Landing page experimentyourapp.example/p/sync
CRM ⇄ Postgres sync in minutes

Real-time two-way sync for small RevOps teams.

you@company.comJoin waitlist
Success criteria≥ 5% visitor signups
MVP plan2 items moved to “later”
Auth + workspace
DB connector
CRM writeback
Billing
Feature freeze · launch checklist
Experiment results · recorded by youdecision pending
PASSEDInterviews: problem confirmed by most
PASSEDWaitlist signups above target
MISSEDPre-sale: below target
BuildPivot pricingDrop
Project workspace

Everything you need
before writing a line of code

Research, competitors, personas and experiments live in one project, so every later step builds on the same evidence.

Example project dossierB2B Data Sync
Decision pending · 2 experiments runningMarkdown export
Target customer

Technical RevOps leads at small B2B companies running Postgres and a CRM.

Main painManual field mapping
Evidence3 facts · 1 assumption
Risks
Security hesitancyTest: offer a self-hosted agent in interviews.
API rate limitsTest: prototype against sandbox limits.
Next actions
Interview 10 RevOps leads
Publish the waitlist landing page
Run a pre-sale with 3 pricing options

Structured reports

Validation reports with executive summary, demand evidence, competitors, risks and recommended experiments.

Illustration

Validation Lab

Landing pages and waitlists hosted for you, counting real visits and signups toward your experiment.

Illustration
Variant ATarget 5%
Variant BYour result

MVP scope limiter

Cuts nice-to-haves into a “later” list so you can launch a testable build in weeks, not quarters.

Database connector Must-haveDark mode LaterField mapping UI Must-haveSlack bot Later
Trust rules

Built to tell you the truth,
not what you want to hear

Most AI tools sound confident. We'd rather show you exactly what is known, what is guessed, and what still needs testing.

FACT

Facts link to stored sources

Every factual claim in a report references a source we saved: URL, title and retrieval date. No source, no fact.

ANALYSIS

Interpretation is labelled

When the AI interprets evidence, it says so. You always know which sentences are reasoning rather than findings.

ASSUMPTION

Assumptions become tests

Anything unproven is marked as an assumption and turned into an experiment you can run.

NOT FOUND

Gaps are shown, not filled

If competitor pricing or market data can't be found, the report says “needs research” instead of inventing a number.

VALIDATED

Only experiments validate

An idea is validated by results you record — never by a confident report. We don't predict success probabilities.

PRIVATE

Your ideas stay yours

Every query is scoped to your account, and your workspace is never used to train shared models.

Capabilities

Advanced capabilities.
Effortless experience.

Built to cut noise, stop over-engineering and keep your feedback loops short.

Search your whole workspace

Find any source, competitor, interview note or decision across your projects in seconds.

⌘K
Ideas matching “RevOps”Ideas
Sources mentioning “pricing”Sources
Competitors in this projectCompetitors

Experiment tracker

Hypothesis, audience, success criteria, dates, results and learnings for every test.

Customer interviewsRunning
Waitlist pagePlanned
Pre-salePlanned

Build kit for coding agents

Export your MVP plan as a markdown spec and prompt that coding agents can follow.

spec.mdMVP scope
journeys.mdUser journeys
checklist.mdLaunch

One project memory

Research, competitors, personas and experiments are shared by every module — nothing gets re-invented.

ResearchShared
CompetitorsShared
ExperimentsShared

Transparent credits

See exactly what each AI action costs. Credits are reserved before a job and refunded if it fails.

1 · Reserved before the job−5
2 · Charged only for what ran−3
3 · Refunded if it fails+2

Private by default

Your ideas, notes and research are isolated to your account. Sessions use secure httpOnly cookies, and your workspace is never used to train shared models.

workspace: "yours-only"
idea: CRM ⇄ Postgres sync
notes: interview transcripts
used_for_training: false
access: "owner only"
Simple & transparent

Plans for every stage

Start free with enough credits to validate one idea end to end. Upgrade when you want more, cancel any time.

Free

Start here

Validate your first idea end to end and see the evidence for yourself.

$0/ month
Get started free
  • 75 AI credits every month
  • Enough for one full validation with a verdict
  • Real quotes from Reddit, Quora, YouTube & more
  • Competitors with sourced prices
  • Shareable report link

Founder

For solo founders

For founders validating ideas every week and getting ready to launch.

$49/ month
Start free, upgrade later
  • 1,500 AI credits every month
  • About 30 full validations a month
  • Brand Kit: names, logo, colours & fonts
  • Landing pages with real waitlists
  • MVP plan, business model & marketing plan
  • Buy extra credit packs any time

Studio

For studios & small teams

For builders running several ideas in parallel.

$69/ month
Start free, upgrade later
  • 2,500 AI credits every month
  • About 50 full validations a month
  • Everything in Founder
  • Lowest price per credit
FAQ

Clear answers
before you start

Questions about sources, accuracy or privacy? Here's exactly how it works.

Research jobs run web searches, read the result pages and store every source with its URL, title and retrieval date. A report statement can only be labelled FACT if it references one of those stored sources; otherwise it's ANALYSIS, ASSUMPTION, or marked “needs research”.

No, and we won't pretend to. Reports give four separate ratings — demand evidence, competitive pressure, feasibility and monetization — each with a short justification. Only real experiment results validate an idea.

Yes. Every database query is scoped to your account, and your workspace is never used to train shared AI models.

You design experiments — interviews, surveys, landing pages, waitlists, demo requests, outreach and pre-sales — each with a hypothesis and success criteria. You record the results, capture learnings, and make a Build, Pivot or Drop decision.

Not yet. Accounts, your founder profile and the projects workspace work now. The Idea Finder, research engine, Validation Lab and MVP planner are rolling out next, and the app marks anything unfinished as “Soon”.

Everything is free during early access. Paid plans add more AI credits and validation tools once billing launches — you'll never be charged unless you choose a plan.

FACT · sourcedANALYSIS · labelledASSUMPTION · testedFree during early access

Stop guessing.
Start validating with real evidence.

Create your workspace in a minute and turn your idea into hypotheses you can actually test.

No credit card required · Your ideas stay private