HelloGrowthCRM
HelloGrowthCRM — AI-Powered CRM for Sales Teams
What it does
HelloGrowthCRM is an AI-powered CRM for small and growing sales teams, combining lead scoring, pipeline management, built-in calling, WhatsApp/SMS messaging, email automation, and forecasting in one platform. Teams can start free, upgrade to affordable plans, or use managed RevOps services. With quick setup, CRM migration, integrations, transparent pricing, and secure infrastructure, HelloGrowthCRM offers a practical alternative to complex CRM systems.
Capture every lead — WhatsApp chats, calls, even missed calls. GST-ready invoicing built in. Plans from ₹899/user/month. Free trial, setup in one day.
Capture leads from WhatsApp, phone calls, and even missed calls. Send GST-compliant invoices, track your field sales team, and follow up on time — from ₹899/user/month. Upload your Excel or CSV, map the columns once, and every lead is in a pipeline the same afternoon. A guided onboarding checklist takes you from signup to your first automated follow-up — no consultant, no IT team. If your team can use WhatsApp, they can use HelloGrowthCRM. Pipelines are drag-and-drop Kanban boards. Every forgotten follow-up is revenue your competitor collects. Every rep keeps their own list. When someone leaves, their pipeline leaves with them. A buyer gives a missed call, gets no callback within the hour,…from hellogrowthcrm.com
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com