I ve been working as a developer for a while now, and one thing I kept seeing was how messy telecalling and lead management get once you scale past a few dozen calls a day. Spreadsheets break, follow-ups get forgotten, and tracking campaign performance becomes a manual nightmare.
To solve this for my own projects, I built Effort Bloom.
It s a telecalling-focused CRM designed specifically to:
Mnexium memories are great for capturing facts, preferences, and context from conversations. But many AI applications also need to manage structured business data events on a calendar, deals in a pipeline, contacts in a CRM, tasks on a board, inventory items, support tickets.
Until now, you had two choices: build a separate database and API layer for your structured data, or try to shoehorn everything into unstructured memories. Neither is ideal.
Today, I came across an article on TechCrunch: The great computer science exodus (and where students are going instead).
It shows that UC campuses saw a drop in computer science enrollment for the first time since the dot-com crash (6% in 2025, 3% in 2024), but students are shifting to AI-focused programs.
