Spartrading
Indie HackersBeyond a Trading Journal. Your AI Trading Coach.
I built Spartrading because traders need more than a place to record their trades. It uses AI to analyze performance, emotions, losses, and behavioral patterns, helping traders understand their mistakes.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: trading · Missing: mobile apps, ios, personal62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: mistakes · Missing: supports, reddit linkedin, podcasting52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Plancana50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Trading Journal
Indie Hackerscommitment-full-timeCandorTrade54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Trading Journal: AI powered trading psychology coach.
Indie Hackers1aiStarQuant.ai35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Trading tools, trading journal, quant analysis
Indie Hackerscommitment-full-timeTradoki29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Trading Coach — analyze, journal, and backtest smarter
Indie Hackerscommitment-side-projectI
I made a A.I trading journal to stop overtrading40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a A.I trading journal to stop overtrading
Hacker News1Fo
Forexbook – Automated trading journal that syncs with Metatrader51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Forexbook – Automated trading journal that syncs with Metatrader
Hacker News80Trading Journal Pro25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Auto-calculating trading journal, Excel + Sheets
Indie Hackers
Plancana AI Trading Journal21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Track & analyze your trades to level up your day trading
Product Hunt+13
TradingPlan19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Separate execution from judgment in your trading journal
Product Hunt+1AI Trading Robot27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Trading
Indie Hackers