Trading agents · Round 1 result
Arnav Chauhan won with +5.91%.
QQQ ended the same window at -3.9%. Arnav's code is public and now runs as the benchmark every Round 2 entrant must beat.
Crowdsource AI solutions. Pay for verified outcomes.
Tell us what you need. We help define the test, invite builders, and check their work. You pay the prize only when a solution meets the agreed requirements.
3 challenges open · $4,000 in prizes · published results
Public challenge boards
See the latest reviewed results.
Trading · $1,000See current trading standingsSubmissions close Oct 15 · ends Oct 31View board →Signalpost · $2,500Research Norwegian companies and show your sourcesCloses Oct 2128 submissionsView board →YeNo · $500 first prize + possible YeNo rewardsBuild a paper bot that creates trading volumeRolling qualificationView board →
Challenges
Live challenges, past results, and what's next.
Enter a live contest, inspect a finished result, or help shape the data for the next one.
Trading agents
Write a Python trading function. We run it with paper money on current US stock prices and rank it by return.
Live participant board
Prize$1,000 to top 3ScoreLive market scoreTested onLive market dataClosesSubmissions close Oct 15 · ends Oct 31
View challenge →Signalpost company research
Give it a Norwegian company number. It searches permitted public sources and returns a company profile with facts, source links and dates.
Find company information and show its sources
Prize$2,500 final rewardsMinimum65/100 on an official runTested on100 random companies per dayClosesOct 21
View challenge →YeNo volume bots
Submit a trading agent to Builderr's paper API. It gets $10 of simulated cash and 24 hours to create $1,000 of completed BUY plus SELL volume while preserving as much cash as possible.
Prize$500 first prize · additional YeNo rewards possibleMinimum$1,000 paper volume from $10 in 24 hoursTested on24-hour hidden forward paper runClosesRolling qualification
View challenge →Local dictation · shipped as RambleFix
Free, local Hindi+English dictation—built for reliable bilingual speech.
RambleFix types English and mixed Hindi+English at the cursor, runs locally on your Mac, and costs nothing. It was built specifically for code-switched speech.
Early briefs for the next challenges.
The tasks and tests are still being defined. Register interest or share suitable examples. Prizes and rules will be confirmed before entries open.
Sports automated scoring
Early briefTurn sports footage or event feeds into accurate scores and game-state updates.
What we need: Sample footage or an event feed, plus trusted final scores and game states.
Prize and rules pendingRegister interest →
Opinion markets
Early briefEstimate the chance of real-world events. The task and judging rules are still being defined.
What we need: Example questions, market prices, deadlines, and known outcomes.
Prize and rules pendingRegister interest →
Operations reconciliation
Early briefMatch purchase orders, invoices, and delivery records, then surface the exceptions that need action.
What we need: Orders, invoices, and delivery records with private details removed, plus examples of resolved problems.
Prize and rules pendingRegister interest →
Have a problem? Crowdsource a solution and pay for verified outcomes.
How it works
Agree the task. Pay for verified outcomes.
01
Describe the task
Tell us the input, the useful output, and what solving it is worth.
02
Agree how to judge it
We set the test, minimum requirements, costs, and limits before builders enter.
03
Verify the result. Award the prize.
The prize is awarded only when a solution meets the requirements agreed before launch.
If no entry qualifies, there is no forced winner. The agreed prize-return or rollover terms apply.
For problem owners
Ask a question about your kitchen footage.
The kitchen challenge asks builders to answer questions from video and show the moment that supports each answer. For your challenge, we agree what a useful result must include before launch. See this example’s task, results, and running costs.
Watch · 2 minutes
How a task becomes a challenge.
See what to send us, how we test submissions, and how builders can use their published results.
After a published result, builders can claim their profile. Qualified builders who want a signed certificate can share that profile on LinkedIn with what they built and liked or learned; sharing never changes the score. Browse public results →
Public proof
What builders made. How it performed.
Explore dated results, the tests behind them, and the code builders have made available.
Trading · published graph
Trading results across a July market window.
Jul 7–27, 2026 comparison. An in-progress result, not the final prize decision.
Open the winner project →Local dictation · shipped outcome
Free, local Hindi+English dictation—built for reliable bilingual speech.
Sankeerth's winning approach shaped how RambleFix remembers important words. Arnav's work helped improve product and technical terms in Hindi+English mode.
RambleFix types English and mixed Hindi+English at the cursor, keeps audio on your Mac, and costs nothing. It is built for people who switch between Hindi and English as they speak.
See the builders, code, and measured results behind the public challenges.
Browse public results →Your problem. Verified outcomes.
Crowdsource AI solutions and pay for verified outcomes. Send an example of what goes in and what a useful answer looks like. You do not need to write code or prepare the test yourself.
We agree the test, prize, evaluation costs, data access, and deliverables before launch. See how posting a problem works.
Send your problem →Who's building this
We are two friends and former founders who wanted a clearer way to compare AI solutions. Builderr connects each task to its test, its results, and the people who built the entries.
Have a question? Get in touch.
builderr.ai — built by two ex-founders who got tired of guessing.how to enterfor agentsrules & faqgithubinquiries@builderr.ai