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Everyone's scrambling to figure out the right pricing model for an age where software completes tasks autonomously.
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Sponsored
Everyone's scrambling to figure out the right pricing model for an age where software completes tasks autonomously.
OpenAI's GPT-5 boasts superior intelligence and performance across coding, writing, and health-related tasks. It significantly reduces hallucinations and sycophancy, providing more accurate and reliable responses. GPT-5 Pro, a variant for complex questions, delivers even higher expertise. New functionalities allow users to customize interactions and improve real-world applications.
GPT-5 marks the "stone age" for AI. It doesn't just use tools - it thinks with them, like humans first learning to shape stones changed everything. Testing showed it one-shotted dependency conflicts that stumped every other model by using yarn commands like Deep Research uses web search, iterating and reasoning through problems instead of just guessing. While it's worse at writing than GPT-4.5 (producing more "LinkedIn slop"), it's unequivocally the best coding model - creating entire production-ready websites with SQLite databases in one shot, where other models gave scaffolding or plans, automating software engineering from maybe 65% to 72% in one leap.
AI coding startups face high costs and thin margins due to expensive LLMs, with Windsurf failing to sustain profitability, leading to its sale. This competitive market pressures companies like Anysphere and Replit, which depend on reducing their LLM supplier costs or developing in-house models. Startup valuations have been impacted, and many struggle to remain independent amidst rising operational expenses and direct competition from suppliers like OpenAI and Anthropic.
It doesn't matter how much you raise or how good your product is, co-founder fights kill more startups than competition or running out of money ever will. Four months after raising from Perplexity's founder, AI startup Astra shut down - not because its product failed or money ran out, but because its co-founders couldn't agree on whether to wait for Fortune 500 deals or pivot to faster sales. The company had everything going for it: two enterprise beta clients, backing from prestigious investors. However, while one founder wanted those logos and the other wanted speed, their startup bled out during the argument.
Building agentic AI products involves determining the appropriate level of system autonomy, starting small with structured workflows, and integrating domain-specific logic for differentiation. Focus on tying AI efforts to actual business value and use open-source frameworks for efficiency. Ensure reliability and effectiveness through rigorous unit and integration testing.
Raising prices shouldn't be a primary growth strategy, especially during slow growth periods. It's often a desperate tactic that doesn't attract new customers and can drive them to competitors. The solution is to focus on acquiring more customers, not extracting more revenue from existing ones.
Tersa is an open-source visual canvas for building and running AI workflows with drag-and-drop nodes and model integrations.
AI Operator is a browser-based AI agent that sees your screen and provides real-time, interactive support for coding, research, and web tasks.
Sim Studio is an open-source visual canvas for building, collaborating on, and deploying AI agent workflows integrated with tools like Slack, Supabase, and Gmail.
RB2B's founder replaced his two-person sales-assist team with a $99/month AI clone of himself that handled 1,683 conversations in 22 days - and the results were... exactly the same as before. The AI handles 90% of buyer questions (demos, pricing, and SOC2 docs). While it hasn't boosted conversions yet, it frees the founder to spend 30-60 minutes daily reviewing conversations for product insights instead of paying two salaries.
A former lawyer quit right before making partner and shut down her startup when it wasn't going to have the impact investors expected - and says quitting is her superpower. Life is like tournament poker, where you get one stack of chips, so don't waste them on barely positive-value bets just because you're afraid to fold. Most founders stay too long in failing ventures because quitting feels like locking in a loss, but here's the reframe: imagine you were instantly unsubscribed from everything in your life, then ask what you'd actually subscribe to - you'll find most of your current activities wouldn't make the cut.
Most of us chase things we don't actually want - we're copycats suffering from Mimetic Desire, unconsciously modeling our ambitions after what we see others wanting on Instagram and LinkedIn. The author realized his first startup was theater for other people, driven by founder models he looked up to and wanting to make his entrepreneurial dad proud, not what he actually wanted. Real desires are simple - work 3 hours daily on something meaningful, stay healthy, help people, and love family - but we get tricked into thin desires like viral posts and VP titles because we mistake someone else's articulation for our own resonance, so the key is developing taste by noticing what drains you versus what you do when nobody's watching.
Decagon's CEO says the most important thing to get right before $1M ARR is your early team - every future hire will look at them and ask, "Would I be inspired to work with these people every day?"
Pinterest's one thing was making collections look really cool because if they looked lame, no one would share them with friends.
We finish terrible movies because we've already watched 30 minutes, and companies blow millions on doomed projects because they've already spent so much - the sunk cost fallacy makes us throw good money after bad.