@relicroster · X

u/sweetnessssss · Reddit

Nine months ago I quit my data science job to build an app. The app is still hungry. Nine months ago I left a comfortable data science job at a travel company to build a sports betting app. Comfortable is and odd word for a job - it means the money arrives on schedule and nobody in your family asks if you're okay. The app is called THE LINEUP ( https://thelineup.pro/ ) -- it does the unromantic parts of betting: comparing prices, working with projections and tracking what happened afterwar

@epaladev · X

@greekdubliner · X

u/resz99 · Reddit

Built a Pingdom clone that clicks through your app instead of pinging your API "Clone" is generous, I only kept the green/red strip. Every row is a feature instead of a URL. I've joined a few startups now and it's the same thing every time. No tests, one or two manual QA person, everyone just hopes. At the last place signup had been broken on web for two months before anyone noticed. Two months. Mobile still worked so signups never dropped to zero, the number just went down a

@tauro2585 · X

All your finances in a single clear platform.

@chrislutzxy · X

The only lead data API you'll ever need.

@ahsanmvp · X

shipped my first saas. - track all your subs in one place - see monthly spend at a glance - trial countdowns before bill - monthly budget tracking - much more check out:

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

@advikkaushik · X

Track your LLM API spend: