@baofuzailushang · X

有位大兄弟制作了一个计算variational积分价值的网站，使用起来很方便： 我以市值1.5B，总积分9.3M，空投25%来计算，每分的价值是40u，1000分就是40000u 我认为这是保守估计，如果8月份variational上线了swaps和api，数据会更好看，而且以var的格局来看，空投应该不止25%,可能30%以上！

@Candyhuntxyz · X

@SheshankSi60747 · X

@finexplainedhq · X

u/averageChilean · Reddit

Built a free tool site to help my brother study — now has 100+ tools, would love feedback My brother's in high school and needed something more visual to study chemistry, physics, and math, so I used Claude to build him a simple site with interactive calculators and visualizers. I'm not a programmer or from a tech background, so without AI this wouldn't have happened, at least not this fast. It ended up helping him a lot more than I expected, so I kept expanding it, added a bunch of other

@apexvol · X

Options are a volatility bet, but price charts can't show you the vol. Our terminal puts the whole surface on one screen: IV rank and percentile, term structure, skew, vol risk premium, dealer gamma and implied earnings moves, across ~6,000 tickers

@tooleaseapp · X

Tools for contact centre staff in one place

@K_dev001 · X

Vibe coding makes launching an app almost free. Running it is another story. I built to calculate your full AI + app stack costs and show which free tier breaks first. Sourced pricing. No signup. No guessing. ->

@PickleCharts · X

Hey @Shakib2O1 Would love to talk to you about my SaaS project ! Drop me a DM

@joeblau · X

u/ahmedk2002 · Reddit

I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I

@QuvirlX · X

Hey! 👋 I'm building Quvirl — a SaaS that helps dropshippers find winning products using Google Trends, Amazon demand, and supplier insights. Still improving it every week. Feedback is always welcome! 🔗