
Elentaria — Agentic Revenue Execution for B2B
Automate your B2B revenue execution by unifying marketing, sales, and customer data.
@k_mansourizadeh · X
Curious to learn more, building
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Automate your B2B revenue execution by unifying marketing, sales, and customer data.
@k_mansourizadeh · X
Curious to learn more, building

Email marketing platform for creating campaigns, managing contacts, and tracking results.
@aiw3ndil · X

Audit and optimize your local business visibility across ChatGPT, Perplexity, and Claude.
@Timemindai · X

Scan smart contracts for vulnerabilities and get gas optimization suggestions.
@Ninjafromqueens · X
Hello! I am the founder and owner of Audit your smart contracts before deploying.

Deploy Ruby on Rails, Sinatra, and Jekyll apps from GitHub with custom domains.
@aiw3ndil · X

Editorial workflow platform for teams to plan, write, review, approve, and publish content.
@duke_can_c_u · X
Hi I’m the founder of a content collaboration platform for teams and creators, with focus on editorial workflows. Always looking to connect with people passionate about content, SaaS, and building great products.

Analyze customer friction points and get optimization recommendations to improve e-commerce conversion rates.
@EnricoBoeker · X

Buy event tickets on Solana blockchain in Argentina, secured without intermediaries.
@BoltickWeb3 · X

Discover winning e-commerce products and generate marketing content with AI.
@justinteh11 · X
🚀 I just launched NexaFlow AI. Looking for a few e-commerce sellers to test it and share honest feedback. 🌐 #BuildInPublic #SaaS #Shopify

Turn natural language descriptions into production-ready backend APIs and services.
u/yousefemz · Reddit
18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,