I’m the developer behind this. I built it because I realized my brokerage account (and my spreadsheet) was lying to me about my profitability.
The Issue: If you trade the "Wheel" strategy or sell covered calls, you know the pain: you collect a premium, the stock drops, and you roll the position. Your broker shows a loss on the trade, but doesn't account for the 4 months of premiums you collected that actually lowered your break-even price.
My Fix: I wrote a custom engine that links these "rolled" trades together into a single campaign.
Real Cost Basis: See your actual entry price after all premiums.
Capital Efficiency: Calculates annualized return on risk (RoR) so you know if the capital lockup is worth it.
I’m specifically looking for feedback on the Dashboard UI—is it too dense, or do you prefer seeing all the Greeks at once?
I’m the developer behind this. I built it because I realized my brokerage account (and my spreadsheet) was lying to me about my profitability.
The Issue: If you trade the "Wheel" strategy or sell covered calls, you know the pain: you collect a premium, the stock drops, and you roll the position. Your broker shows a loss on the trade, but doesn't account for the 4 months of premiums you collected that actually lowered your break-even price.
My Fix: I wrote a custom engine that links these "rolled" trades together into a single campaign.
Real Cost Basis: See your actual entry price after all premiums.
Capital Efficiency: Calculates annualized return on risk (RoR) so you know if the capital lockup is worth it.
Privacy: No bank connections required (yet)—just import or manual entry.
It’s a solo project, not a VC-backed startup. The free tier lets you track active campaigns.
I’m specifically looking for feedback on the Dashboard UI—is it too dense, or do you prefer seeing all the Greeks at once?
I built PremiumFlow because I got tired of maintaining a massive spreadsheet to track my options trades.
The Problem: When running the "Wheel" strategy (selling puts/calls), most brokerages treat every trade as a separate event. They don't track how collected premiums lower your true cost basis over time. If you roll a position for 3 months, you have no idea what your actual break-even price is without doing manual math.
What this solves:
Automated Math: It links your trades to calculate real-time cost basis and annualized ROI.
I’ve been selling cash-secured puts and covered calls (the "Wheel" strategy) for a while, but I’m struggling with the data side of it.
Most brokerages (IBKR, Schwab, Robinhood) treat every contract as a siloed trade. They don’t automatically "decay" the cost basis of my underlying stock or LEAPS when I collect premium. After rolling a position three or four times, it becomes nearly impossible to see my actual break-even or true annualized ROI without a massive, manual spreadsheet.
I got so frustrated that I started building a tool to automate this for myself: PremiumFlow (https://premiumflow.base44.app/).
My approach was to create a dashboard that:
Automatically adjusts the cost basis of a position as premiums are collected.
Tracks "Poor Man’s Covered Calls" (selling against LEAPS) properly.
Monitors assignment risk for ITM puts in real-time.
I'm curious how others in the HN community handle this:
Do you have a "holy grail" spreadsheet that actually works?
Have you found a third-party tool that handles the "cost basis" problem correctly?
Or do you just rely on your brokerage's (often confusing) tax lots?
I'd love to hear about your workflow or any feedback on the tool I've started building.
I appreciate the feedback, and you raise important points about authenticity in relationships.
To clarify, this isn't about replacing genuine communication or being deceptive. It's more like having a writing assistant when you're genuinely stuck.
Think of it like:
- Using Grammarly to improve your emails doesn't make them less "you"
- Getting advice from friends before important conversations doesn't make you fake
- Using translation apps when traveling doesn't mean you don't care about connecting with locals
The tool suggests starting points - users still choose what resonates with them and edit accordingly the answer.
This is just a tool to help people express themselves better when they're stuck, not to replace authentic connection.
Struggling to find the perfect reply to your girlfriend’s messages? TextHerRight uses AI to analyze your chat history and suggest smart, personalized responses in seconds. Improve your texting game and keep your relationship conversations smooth and engaging. Try it free today!
Hey HN!
I'm a frontend engineer who built TextHerRight after watching too many friends (and myself) stare at blank message screens, paralyzed by the cursor. You know that moment – your girlfriend asks "How was your day?" and somehow your brain just... stops.
The Problem: We've all been there. You want to respond thoughtfully but draw a blank, you overthink or you send the wrong message. The "seen" notification starts feeling like a countdown timer, and suddenly texting becomes stressful instead of connecting.
What I Built: TextHerRight analyzes your conversation context and suggests natural, authentic responses that match your communication style. You paste your conversation thread, and the AI gives you 2-3 response options that actually sound like something you'd say – not some generic chatbot.
What Makes It Different: Unlike dating app assistants that focus on pickup lines, this is for actual relationships. It learns your communication style from context and suggests responses that help maintain genuine connection, not manipulation.
Current Status: Live at https://textherright.base44.app - completely free to try. I'm curious if you guys find this helpful. Honestly, I've using it almost every day now in my own relationship to be honest
I'd love feedback from the HN community – I didn't found anything similar so far and I would love to know if you have any idea to make this even better
Major win for Google as federal judge rules against forcing Chrome divestiture in landmark antitrust case. Stock jumped 8% overnight, adding $170B+ in market value.
Key outcomes:
Google keeps Chrome browser and Android OS
Can continue $20B annual payments to Apple for default search
Must share search data with competitors but avoids breakup
Wall Street raising price targets - Oppenheimer ups to $270 (+28% upside)
Why this matters: Judge called Chrome divestiture a "poor fit" and noted AI competition changing the landscape. This removes the biggest regulatory overhang that's been weighing on the stock.
Market reaction: GOOGL hit $224 - a yearly high. Analysts calling it a "monster win" and "home run ruling". Even Apple benefited (+3%) as their lucrative search deal continues.
Looking ahead: With regulatory uncertainty cleared and strong fundamentals (13.9% revenue growth, 8 buy ratings vs 1 sell), GOOGL appears positioned for further gains. Some analysts project $316 by 2030.
Deep dive analysis: For comprehensive GOOGL stock analysis including price targets, risk assessment, and investment thesis → https://dashboard-finance.com/stock/googl
What's your take on Google's antitrust victory? Game-changer for Big Tech regulation?
MSCI, best known for its global equity indices and risk analytics, has announced a higher dividend payout, reinforcing its positioning as a durable cash flow generator. Unlike many financial service companies that depend on market cycles, MSCI’s business model benefits from recurring subscription revenues tied to benchmarks used by asset managers worldwide.
The dividend boost signals confidence in continued revenue growth from index licensing, ESG data, and analytics services—sectors with strong secular demand. For long-term investors, the story isn’t just about yield, but about the underlying moat MSCI has built around benchmarks that are deeply embedded in the global financial system.
This page offers a detailed expert prediction for Globalstar, Inc. (GSAT) stock price by 2030, including analyst targets, trends, and comprehensive insights to help investors make informed decisions. The forecast anticipates a significant potential growth of 45.8%, reaching $42.08 from the current price.
Trend Analysis
Over the past four quarters, NVIDIA has consistently outperformed consensus EPS estimates by an average of 6.24%.
The largest surprise came in Q4 2024 and Q2 2025 (both +8.00%), highlighting particularly strong seasonal demand.
Q1 2025 showed a modest slowdown in surprise magnitude but still represented a solid beat at +4.71%.
Today’s Release and Guidance
Earnings Release: Today, August 27, 2025, after market close
Forward Guidance: Watch for commentary on data-center demand, AI accelerator deployments, and any updates to full-year margin outlook.
Why This Matters
NVIDIA’s ability to consistently beat estimates underscores its leadership in AI and high-performance computing. As market expectations climb, even small upside surprises can drive significant stock moves, especially when paired with upbeat guidance.
Conclusion and What to Watch
Beat/Miss Dynamics: Given its track record, even a modest beat could bolster share price, while a slight miss or cautious guidance may trigger volatility.
Guidance Tone: Pay close attention to management’s outlook on AI spending cycles—this remains the primary catalyst.
Analyst Revisions: We’ll be tracking real-time estimate updates on our page to gauge how the market digests this report.
Dive into the full earnings history, interactive charts, and live analyst estimate revisions here:
I Builded a comprehensive stock analysis platform after getting frustrated with raw financial data across different sites. This example for NVDA includes 11 specialized modules: price predictions through 2030, technical analysis, earnings forecasts, risk assessment, and detailed financials all in one place.
The technical analysis module incorporates various indicators beyond basic charting and each section provides actionable insights rather than just raw data display.
Would appreciate feedback from the community on additional analysis features that would be valuable for you.