@avinashraj61815 · X

i vibe coded this week

@itskdubs_ · X

@AfridiMunir · X

@BizCalcLab · X

@YoloBust · X

free financial education for the people

@HelloCalcaas · X

u/DilDaNiMaada_5911 · Reddit

Verdict-first travel tool — monetizing via affiliate links that only appear AFTER you've decided. Does this model hold? TripVerdict gives an honest "does this trip fit your budget" verdict from live flight/stay data. The wedge: every competitor (OTAs, AI planners) monetizes bookings, so their incentive is to make every trip look bookable. Mine shows booking links only post-decision, clearly disclosed — the bet is that independence is the moat and the trust earns the click. Early signal:

u/Greywolff06 · Reddit

I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com

@umarbashir · X

I just shipped my first ever SaaS product. It's a small personal fiance tracker especially to manage expense , incomes, loans, subscriptions, and set budgets for your expenses. You can find it here:

@rickandx26 · 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

@Bogdan266624 · X