Productivity1 week ago
Dashboard — PerformanceOS
View your performance points, estimated rating, and growth gaps at a glance.
@DiyaVijay6 · X
Check out what I just built with Lovable!
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View your performance points, estimated rating, and growth gaps at a glance.
@DiyaVijay6 · X
Check out what I just built with Lovable!
Get 24/7 AI-powered monitoring of your portfolio with alerts for drift, earnings, and benchmark tracking.
@SigVestAI · X
Track live performance of global stock exchanges, compare gainers and laggards, and save snapshots.
@fotohinia16520 · X
Check out what I just built with Lovable!
Backtest trading strategies using historical stock market data.
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
Track top investors' SEC 13F holdings and cross-fund consensus on stocks.
@compounderfyi · X
我做了一个跟dataroma类似的网站，数据聚合比他完整，大家可以多给我提提意见，多谢！
Trade prediction market coins on Hyperliquid backed by real positions.
@0x_why85 · X
RT @outmarkdotfun: is live. A launchpad on HyperEVM for tokens paired with HIP-4 prediction markets from @Hyperliq…
View ML predictions and performance metrics for Kalshi and Polymarket prediction markets.
@precisionalgo · X
Trading journal to log trades and track equity curves, win streaks, and performance analytics.
@NimraWeb3 · X
So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:
Benchmark local coding models on consumer hardware to measure accuracy, latency, and throughput across 27 tasks.
u/Unfair_Association89 · Reddit
I built a reproducible benchmark for local coding models (Ollama, 27 tasks, live leaderboard) ran it on my 8GB card, here's what I found I kept eyeballing "vibes" to decide whether one quant of a coding model was actually better than another on my machine, so I built Sakura to get real numbers instead. What it does: - Points at any Ollama model and runs it through 27 hand-curated tasks: codegen, bugfix, SQL, refactor, systems design, protocol implementation, and terminal-agent episode
Run real models against benchmarks in your browser to detect performance regressions before production.
pepperpoppins · HN
Trunchbull, run real models against any benchmark in your browser
Track real-time profit and business performance metrics.
@uchechukwuevan · X
Analyze your product to diagnose market fit and uncover growth bottlenecks.
@teslaptimus · X