AI Agents1 month ago
Calla — your AI front desk. Never miss a call. Never miss a job.
AI voice agent that answers missed calls, books jobs, and tracks revenue.
@Jithendhar40266 · X
Ai voice agents that books calls
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AI voice agent that answers missed calls, books jobs, and tracks revenue.
@Jithendhar40266 · X
Ai voice agents that books calls
Ask across every earnings call at once and get the quotes back, with the speaker and the call behind each one. Figures come from a query, never from a model.
@serkanglatt · X
Curious about earnings calls? Fire away. Plans start at $24.99 a month. unlocks 250,000+ calls from 12,000+ companies across all 11 sectors, going back to 2020. Fresh calls get added within minutes of publication. Ask the questions an analyst would: growth, margins, guidance, sentiment. Put two companies head to head. Track one metric across quarters. The numbers are pulled straight from the transcripts. The quotes are sourced. And when the data has no answer, the AI tells you instead of guessing.
Call AI replicas of human experts trained on their knowledge to get expert advice.
@callable_com_ai · X
create your digital twin with your knowledge base for others to call (and make money?)
Transform administrative problems into structured call plans using ChatGPT's voice capabilities.
@AutmaAI · X
Built with ChatGPT Sites: Five Minute turns a messy real-life problem into a clear, editable call plan using live voice. #Giveaway @chatgptapp
🚀 Streamline your business communication: Business Texting, Business Calling & Team Chat, all in one place with optional human in the loop AI automation.
@SynapseComs · X
Practice cold calls against an AI buyer to improve sales skills and job prospects.
@elliottships · X
Building AI-led sales coaching with real-time cold calling practices
Never miss a lead again. Kalyvox answers, qualifies and books every call — full lead card in seconds. Try free for 7 days, no card required.
@Kalyvoxai · X
See what happens before you decide. Model alternatives, expose assumptions, quantify uncertainty and discover exactly what would make your decision wrong.
@ANOVIA_Apex · X
Your gut has an opinion. Your spreadsheet has a forecast. MARK C has 10,000 futures and the exact question that matters: what breaks your decision? Stop guessing. C MARK it.” ⚡
Quo brings your calls, texts, and contacts together in one AI-powered shared space. Keep your team aligned, respond faster, and ensure every customer feels valued.
@benjhaberman · X
had me by the phone number. Great UX for calls and SMS. But per-user fees, credit systems, clunky AI bolted on. It got unbearable. So I went to port my number out. Turns out it was Twilio to Twilio. They were just reselling Twilio with a wrapper. So I vibe coded my own interface directly on Twilio and walked away. This is what's happening everywhere right now. Salesforce. HubSpot. Legacy SaaS that trapped people because switching felt impossible. Builders can see through the wrapper now. They can vibe code their way out of your moat in a weekend. Old school tech never had to be great. They just had to trap people. Those days are done.
Monitor a live AI trading agent's trades and reasoning in real time with full transparency.
u/Much-Section-7680 · Reddit
5 weeks live, 31 followers, 8 website clicks, 0 organic signups. I audited my own marketing today and it was brutal. I spent today auditing my own marketing instead of building, and the numbers were worse than I thought. Posting them because I read these threads for exactly this and almost nobody publishes the bad version. What I built: an LLM agent that runs your trading strategy on your own exchange account and keys. It wakes on a schedule and on price triggers, reasons in plain language,
Ask questions about Scripture and get AI-backed answers with every claim cited to specific verses.
u/zx9rams · Reddit
I built a Bible tool designed so the AI can't just make things up. I've been building this for a while and the part I actually care about is the architecture, because an AI that reads the Bible is exactly the thing nobody should trust by default. So its built the opposite way, the model is treated as untrusted and the code owns every real decision. every quote is checked word for word against the Hebrew and Greek before it shows, so the model cant paraphrase scripture into an answer eve