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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Malaysia's AI agent-powered messaging app Respond.io rais...
Kate Park · 2026-06-16 · via Hacker News - Newest: "AI"

In 2017, Respond.io set out to solve a simple problem: businesses couldn’t keep up with customers who had moved to messaging apps. Today Respond, with its customer conversation management software, has become one of the tech success stories of Malaysia.

The startup, headquartered in Kuala Lumpur, has raised a $62.5 million Series B round led by Camber Partners, with participation from Endeavor Catalyst and existing investors. It last raised a $7 million Series A in 2022. The company has grown to $35 million in annual recurring revenue (ARR), growing 169% year-over-year, at a 30% profit margin, it tells TechCrunch.

Co-founder and CEO Gerardo Salandra, who worked at IBM and Google before joining Runtastic, a fitness tracking app that was sold to Adidas in 2015, founded Respond in Hong Kong in 2017 alongside Hassan Ahmed (CTO) and laroslav Kudritskiy (COO). The team relocated the business to Malaysia two years later.

The platform helps mid- to large-sized B2C businesses drive revenue from customer conversations across multiple messaging channels including WhatsApp, Instagram, TikTok, Messenger, Line, Telegram, WeChat, voice calls and web chat. It also uses AI agents to automatically handle high volumes of customer inquiries, qualify leads and close sales without human intervention.

Salandra described its core customers as “high-consideration” businesses, where customers need to talk to someone before buying, such as healthcare, automotive, retail, education and travel. “You don’t go to a website, put your credit card, and buy a car; you chat with someone, you ask a lot of questions,” he said. Its sweet spot is companies with 200 to 10,000 employees.

The rise of AI has raised an obvious question for platforms like Respond: Can tools like ChatGPT simply replace what they’ve built?

Salandra thinks his foothold is strong enough to stop such encroachment, should it come. The company is currently processing 2 billion messages per quarter.

“If I just look at the numbers, every day that AI becomes more prominent, we grow faster,” he told TechCrunch. “We are not seeing what the public SaaS markets are seeing.”

Part of that comes down to pricing, he said. Unlike enterprise software competitors that charge per seat, Respond charges based on the volume of customer conversations, meaning it doesn’t matter whether a human or an AI is answering. “When fewer humans use your product, they make less money,” he said. “But we don’t charge like that.”

The incumbent platforms, particularly those dominant in North America and Europe, were built around email and phone calls. “The platforms that exist, they bolted on messaging as a second thought. They’re very email focused, they’re very call focused, but when it comes to messaging, it’s an afterthought,” Salandra said.

That volume of message data creates a feedback loop, according to the CEO. More messages mean better AI. Better AI attracts more customers. More customers generate more messages. “This is what we call the data flywheel,” Salandra said. He added that the head start matters for any upstart AI company, as well. “Because we started so long ago and we have such a strong foundation, we can provide better AI compared to someone who just entered into the messaging space.”

With the new capital, Salandra said the company plans to pursue hiring, organic growth and acquisitions. The CEO has two types of buying targets in mind: bolt-on technology that fits into its existing ecosystem, and established teams with strong customer bases in strategic markets like Europe and North America. “Imagine how many months I can save if I find the right company that maybe already has the clients and the team,” he said. “I can save myself six months to a year through an acquisition.” He confirmed the company is already in talks with a couple of potential targets.

The geographic push makes strategic sense. Respond currently generates roughly 30% of its revenue from APAC, 30% from Latin America, and 20% from the Middle East and Africa, leaving North America and Western Europe at just 20%. But Salandra says those regions are now its fastest-growing. “They took longer to make the change, but now they’re moving very rapidly into messaging channels,” he said, adding that he expects both regions to become the company’s largest segment within two to three years.

Despite the fresh injection of capital, Salandra is cautious about what comes next. “We don’t want to be a growth at all costs company,” he said. “Even with this money, we’re going to be very disciplined.” But Salandra has bigger plans in mind. “My favorite outcome?” he said. “Ringing the bell at Nasdaq.”

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Kate Park is a reporter at TechCrunch, with a focus on technology, startups and venture capital in Asia. She previously was a financial journalist at Mergermarket covering M&A, private equity and venture capital.

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