Equity. Roles. Vision. Exit goals.

Most founder pairs avoid these conversations until something forces them into it. By then, the goodwill is already gone and the company is paying for it.

In 2025, being a marketer feels like being a full-stack SaaS team, minus the team. You re writing emails in the morning, editing video demos by lunch, tweaking automation flows in the afternoon, and debugging a landing page at midnight because growth doesn t sleep. And apparently, neither should we.

We told AI to make our jobs easier.

AI replied: Cool now you do everything. Alone. But faster.

Here s my daily juggling act:

One thing I have noticed is that as my context gets richer, my repo is getting a bit wider, so I am worried context gets missed. I set up a nice folder system from the beginning and things structurally seem to be going well, but are there any helpful things you've personally done to keep the flow of context streamlined and guide the LLM to parse the repo methodically?

Hi everyone, I was responsible for a launch in November 2024 which did very well and would love to get your guidance on the main differences and best practices on how to perform well on our Product Hunt launch. As this is my own company now, would love to hear your guidance!

I noticed that the teaser pages do not exist anymore so I guess the message to audience and sharing teaser page does not make sense anymore. Any other things that matter now / differ?

Amazon s PRFAQ process has long been considered one of the strongest product-planning frameworks: define the customer problem, write the press release and FAQ, and only then begin building.

But AI-assisted development may be changing that sequence.

Small teams can now create rough prototypes quickly, test workflows with users, and discover problems that would have been difficult to identify in a planning document alone.

This may also change what startups should look for when hiring. Instead of evaluating candidates only through job titles, years of experience, or familiarity with specific tools, teams may increasingly value the ability to:

If you've bought a handful of stocks in the last year, here's a question: do you actually know how your portfolio is performing? Not a gut feeling, the real number.

For most first-time investors, the honest answer is "not really." And that's not a personal failing. It's a design failure of the tools we're all handed.

The tools weren't built for you

Open any major brokerage app and you're greeted with candlestick charts, moving averages, P/E ratios, and a dozen other metrics that assume you already speak finance fluently. If you didn't study economics or work in trading, none of that is intuitive, it's a foreign language dressed up as a dashboard.

I want to be fair: the AI itself is genuinely impressive. In this single thread, I built a 20-ad Facebook campaign, 10 original how-to videos with AI voiceover, a Facebook Collection Ad with a custom Instant Experience, a landing page with full equipment pricing, and a client-facing preview tool that helped me close four new clients in one week. The creative capabilities are real and remarkable.

But the support experience has been one of the worst I have ever encountered with any software company.

When a platform limitation caused my landing page project files to become inaccessible, I was forced to rebuild everything from scratch landing page, 10 videos, all assets at my own expense. I contacted Manus support ten times over multiple days. I was passed between ten different representatives. I was asked for a screenshot or video of a non-visual technical issue eight separate times. I was told engineering was working on it multiple times and each time, the next representative had no record of any of it.

I was eventually given a partial credit after escalating to LinkedIn. But I am still being asked as of today to install a plugin and record a video of a problem that no longer exists because I fixed it myself.

I want to be fair: the AI itself is genuinely impressive. In this single thread, I built a 20-ad Facebook campaign, 10 original how-to videos with AI voiceover, a Facebook Collection Ad with a custom Instant Experience, a landing page with full equipment pricing, and a client-facing preview tool that helped me close four new clients in one week. The creative capabilities are real and remarkable.

But the support experience has been one of the worst I have ever encountered with any software company.

When a platform limitation caused my landing page project files to become inaccessible, I was forced to rebuild everything from scratch landing page, 10 videos, all assets at my own expense. I contacted Manus support ten times over multiple days. I was passed between ten different representatives. I was asked for a screenshot or video of a non-visual technical issue eight separate times. I was told engineering was working on it multiple times and each time, the next representative had no record of any of it.

I was eventually given a partial credit after escalating to LinkedIn. But I am still being asked as of today to install a plugin and record a video of a problem that no longer exists because I fixed it myself.

With all the recent data leaks and state surveillance laws, more people seem to prefer 100% local, on-device compute over cloud-based LLM architectures even if it means working with slightly smaller models.

As users or makers, are you consciously choosing on-device alternatives for your daily workflows, or do you still trust cloud systems with your data?

Full report from @olivia_moore @mha1 & @seema_amble :

• Horizontal apps have a slight lead over vertical (60% of the list). This includes general assistants (ex. @Perplexity) and SIX different meeting support tools (ex. Fyxer AI). But, it also encompasses creative tools and vibe coding tools that are used in roles across orgs.

• Vertical apps can augment human labor...or replace it. We're mostly seeing the former - but five companies on the list allow customers to "hire AI" (ex. Crosby Legal, @Cognition IP , @11X). Labor augmenters mostly assist with customer service, sales, and recruiting.

• Vibe coding has landed in enterprises. It's not just a prosumer trend! Number three on the list, below @OpenAI and Anthropic? Replit. Other listmakers in the category include @Lovable and @Emergent 2.0, while @Cursor made the ranks for more technical users.

• Products are making the consumer -> enterprise jump. 12 cos also appeared in our most recent Consumer AI Top 100 - almost all of which started out B2C and have migrated B2B over time. In fact, 70% of listmakers are available for individual use (no enterprise license needed)!