#25: This Solo Founder Built an AI App in 6 Months and Sold It for $80M

AgentPulse: Your Weekly Dose of AI Agents News.

Author

O P
June 23, 2025

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Welcome back, AI Agent Enthusiast!

In today’s Agent Pulse:

  • 📢 Top AI Agents News

  • ⚔️ Agent Arena

  • New Agents

  • Featured Agents

  • Free courses

  • Papers

📢 TOP AI Agents News

Meta’s High-Stakes Talent Gambit

Meta dialed up its AI ambitions by personally courting OpenAI’s leading researchers with nine-figure offers -signing bonuses and total compensation packages reportedly nearing $100 million each. Despite these eye-popping sums and CEO Mark Zuckerberg’s hands-on recruiting (even emailing DeepMind and OpenAI talent directly), not a single top-tier OpenAI engineer made the jump.

  • Culture Over Cash: As Sam Altman quipped, big checks don’t guarantee loyalty or innovation, mission and team ethos do.

  • Talent Wars Are Tactical, Not Strategic: Aggressive poaching signals desperation more than vision. Winning the agent era means nurturing a purpose-driven culture, not running salary auctions.

  • Meta’s AI Credibility Test: This blitz underscores Meta’s urgency to catch up after recent model delays and highlights the risk of “talent theater” distracting from product and research breakthroughs.

Wix’s $80 M Bet on “Vibe Coding” with Base44

Wix acquired Israeli startup Base44, the one-person “vibe coding” platform that turns prompts into full apps, for $80 million in cash and stock. Launched just six months earlier by Maor Shlomo, Base44 had already amassed 250K users, was generating $189K/month in revenue, and boasted a fully bootstrapped, profitable model - proof positive that single-developer AI startups can scale fast and exit big.

  • Solo-to-Unicorn Pathway: Base44’s flywheel: prompt-driven dev → rapid user growth → profitable revenue → strategic exit—sets a blueprint for lean, agent-first ventures.

  • Embedding Conversational Dev: Wix plans to weave Base44’s natural-language interface directly into its site-builder, shifting “app creation” from a toolkit to a dialogue.

  • Agent Economics 101: No outside funding, minimal overhead, and major payout - Base44 illustrates how agent-native products can bootstrap their way to transformative acquisitions.

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Other News headlines

  • Salesforce has released a major upgrade to its digital labor platform, Agentforce 3, focusing on enhanced visibility and control for scaling AI agents in enterprises. source

  • Botpress, a platform for building and deploying AI agents, secured $25M in Series B funding to accelerate platform development and expand global services. source

  • Digits has integrated AI agents into its AI-native accounting platform, Autonomous General Ledger (AGL), to automate accounting workflows with high accuracy and efficiency. source

⚔️ Agent Arena - The Open Battleground

The AI world needs more than demos and benchmarks.
It needs proof. On real tasks. In the open.

Agent Arena is the first public arena where Agents face off on real challenges from real users.

No secret evals. No cherry-picked outputs.
Just your task → their raw response → your vote.

And it’s not just a game.

We’re building the first community-governed, task-based performance graph for AI agents - a new layer of trust for the agent economy.

  • Builders can test and improve in public.

  • Users can compare before they commit.

  • Investors and teams can see what works before betting big.

This isn’t a leaderboard. It’s an trust engine -powered by participation, not marketing.

TOP 3 AI on June 23:

  1. DeepSeek V3 0324

  2. ChatGPT 4o

  3. Llama 3.3 70B Instruct Turbo

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New Agents

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MiniMaxAI: lightweight, high-performance large language models (LLMs) optimized for real-time interaction and scalability.

✨ Featured Agents

🎓 FREE Courses

🎓 Papers

  • Academic (arXiv): A taxonomy distinguishing narrow LLM-driven “AI Agents” from broader “Agentic AI” systems, mapping their applications and challenge. (Source)

  • Academic (arXiv): Paper argues that “AI Agentic” is often a buzzword for traditional autonomous agents and multi-agent systems, urging the field to leverage decades of existing multi-agent research rather than “reinvent the wheel”. (Source)

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