😼 Get your (meme)coin

The Roundup

by Product Hunt

Sunday, Dec 08

Happy Sunday, legends. Welcome back to another edition of the Roundup — our weekly rundown of everything you missed this week on Product Hunt. We've got the latest and greatest in AI, the lowdown on the Hawk Tuah memecoin drama (ofc), and an amazing new piece from the legendary investor and writer Lenny Rachitsky. Let's get into it.

Weekly

Leaderboard highlights

ChatGPT Pro — Scaled access to research-grade intelligenceChatGPT Pro gives you unlimited access to OpenAI's top models, including o1, GPT-4o, and Advanced Voice, for $200/month. It also includes o1 pro mode, a version of o1 that uses up to 10x more compute to answer the hardest questions.

Coval — Simulation & evals to ship delightful voice & chat AI agentsCoval lets you create custom metrics, run thousands of scenarios, trace workflows and integrate with CI/CD pipelines for actionable insights and peak agent performance.

Hypelist — Discover personalized recommendations of everything you loveHypelist lets you create, share, and discover AI-enhanced lists about basically anything. Top coffee spots in Barcelona, best 80s horror movies, tips for finding good flea markets in LA…the possibilities are endless.

Supabase AI Assistant [LW24] — Idea to Postgres databaseSupabase AI assistant can help things like Postgres schema design, data queries and charting, error debugging, Postgres RLS policies, Functions, Triggers, and more.

Pointer — AI editing co-pilot for Google DocsPointer is an AI copilot that works directly within Google Docs to offer smart, real-time edits.

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New articles on the site

The ultimate guide to willingness-to-pay

This week, we’ve got a special feature from our friend Lenny Rachitsky (aka lennysan), breaking down everything you need to know about how to price your product:

Pricing is the most under-leveraged growth lever. It can drive enormous sustained growth (quickly) and often takes very little product work, yet is rarely prioritized or even discussed within product teams. That’s because pricing can be scary, irrational, and hard to know if you’ve done it right. Yet everyone who invests in pricing wishes they’d done it a lot sooner.

Enter my friend Kristen Berman. Kristen is a behavioral scientist, a founder of Irrational Labs, and a past podcast guest and newsletter collaborator. For a decade, she’s worked closely with tech companies to drive behavior change. She leverages the latest behavioral-science research to improve products’ conversion, engagement, and, most impactfully, pricing. Just in the past few years, she’s helped dozens of companies revamp their pricing strategy—with tremendous results.

Below, based on her work and the latest research, Kristen shares the most in-depth and actionable guide I’ve come across on how to execute a pricing study (spoiler alert: there is way more than Van Westendorp)...

Full article here.

Also — did you see all of the dev tools that launched Tuesday as part of Supabase's Battle Royale? Check out our breakdown in our dev tools newsletter, the Breakpoint, if you missed it.

Overheard in the community

Crypto Chaos: Hawk Tuah Edition

The Hawk Tuah memecoin drama is the crypto world’s latest chaos magnet. Haliey Welch, the "Hawk Tuah Girl," launched $HAWK, promising fans a fun, meme-driven token. Instead, the coin skyrocketed to a $490M market cap before crashing over 90% in hours, leaving investors clutching at air and wallets suspiciously bloated. Blockchain sleuths flagged a few key accounts holding most of the tokens—classic "sniper" behavior—and the SEC is reportedly sniffing around.

Welch defended herself, claiming her team tried to block snipers with high fees, but critics (and golf influencer Paige Spiranac) weren’t buying it. Spiranac’s jab? “If I’ve learned anything, it’s to never release a memecoin.” Ouch.

Our take: Memecoins thrive on hype, but they’re a minefield for trust and transparency. Welch might’ve wanted to cash in on the meme, but when your coin is accused of insider trading hours after launch, the vibe goes from "fun" to "fraud" real fast.

Your agents stopped answering and started doing

Your agents call tools, write to databases and move money, so a wrong answer is now a wrong action, which is a considerably worse meeting. Arcjet runs policy before every LLM call, tool call, query and API request: prompt injection, sensitive data, bots, rate limits, spend quotas, and your own rules in Rego on top. It reads the OpenTelemetry you already emit, so switching it on is one environment variable, no code changes and nothing to deploy. Each check also reads the earlier steps in the same workflow, so an agent's tenth action gets judged against the first nine and not on its own. JavaScript, Python and Go SDKs all at 1.0, agent framework guards included, free tier to start on.