@AhmodAdeniyi · X

@IntegerDemand · X

AI demand forecasting that helps teams know what to buy, when to buy it, and why.

@CheapChat_tech · X

Cheapest Social media automations!

@Chilemathy · X

Here you have it

@gleam_energy · X

Gleam — an energy management tool that helps people understand, optimize, and save on electricity. Utility data, EVs, solar, batteries, and weather combine to answer questions like "Why did my bill go up?" or "Would switching rate plans save money?"

@dipen_ai · X

@Himansh42661941 · X

I built QuoteShield — an early MVP for people who don’t know if their mechanic quote is fair. It gives: ✅ estimated fair price range ✅ red flags ✅ missing details ✅ questions to ask before paying Still testing the idea. Try it here:

@SmartBook1212 · X

Per-seat pricing punishes you for hiring. Smart Book is flat $30/mo no matter how many techs you dispatch. From

u/Ordinary_Recover_755 · Reddit

The technical hurdles of building a "pay-as-you-go" AI model to avoid subscription fatigue Hey everyone, I’ve been tracking the ongoing debate around subscription fatigue. Most users don't want a $20/month commitment just to run a 5-minute code explanation or API analysis once a week. To solve this for myself, I spent the last few weeks building a hybrid microservice architecture using Next.js, Supabase, and the Claude API . I wanted to share a few technical and billing challenges I ra

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

@ChesterTweets4 · X

Check out what I just built with Lovable!

@SimonFUTURE2 · X