Evident
More than Bulk Whatsapp Messaging
Evident launched on May 13, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Launching Evident IT Services — more than just a bulk WhatsApp messaging platform. Our SaaS solution helps businesses integrate WhatsApp with CRMs, ERPs, payment gateways, analytics tools, and custom apps without technology barriers. With APIs, webhooks, AI automation, shared inbox, and scalable infrastructure, we help businesses automate conversations, improve engagement, and grow faster with one powerful platform.
Send WhatsApp broadcasts, automate chatbots, and manage a shared team inbox. Meta WhatsApp Business API platform for growing businesses in India.
AI-Powered WhatsApp Marketing, Intelligent Chatbots & CRM to Generate More Leads and Close More Sales. When shoppers get an immediate, helpful reply on WhatsApp, fewer conversations go cold. Pair instant AI with human escalation so every thread moves toward a booking, purchase, or resolved ticket. First reply in seconds Customers stay in WhatsApp instead of bouncing to email or web forms. Consistent tone, 24/7 AI handles repetitive questions so your team focuses on revenue conversations. Measurable lift Track response time, resolution rate, and funnel progression from one workspace. Powerful features to help you connect with customers, automate conversations, and grow your business.…from evidentitservices.site
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Growth · 13d ago · wallhop.io


Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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