Hey makers! I need to vent and hopefully get some advice from people who've been through this.

I'm working on our landing page copy and honestly it's become my personal hell. You know that moment when you think you've nailed the perfect headline, so you show it to 10 users and get 10 completely different interpretations?

User 1: "Oh so it's like Slack for teams"

User 2: "Wait, this is a project management tool right?"

I've realized I don't like reading text linearly.

Someone writes a text, and it's encoded by their writing style, knowledge, thinking patterns, and so on. Then I need to read it through, decode it, and understand if it was worth the effort.

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)!

I miss Mint. And when I say that, I mean that I miss the old Mint before they got acquired by Intuit and started selling my data to anyone who would buy it. I want more than what my bank offers but this space seems surprisingly quiet unless I am hiding under a rock.

What's everyone using for personal finance?

I ve been thinking a lot lately about how creators especially podcasters, YouTubers, and indie writers often get overlooked by mainstream tools that try to serve everyone at once.

Curious to hear what small, purpose-built products people here are building that genuinely serve a creator niche.

Genuinely asking, because my experience has been mixed.

Last time I launched here I reached out to a few founders, ended up on some really good calls, swapped notes on what's working. That felt anything but luck.

But I also know people who prepped for weeks and felt like they were shouting into the void on launch day.

This community is one of the most responsive I've seen. People actually try your product and leave real feedback. That part I trust.

Meow Product Hunt!
About a year ago, we had a discussion on launch weeks here.
A launch week is when a company announces something new every day for 5 days.
This week is unique. This week, 22 developer tools agreed to announce a new feature every day for 5 days. We called it 'Mega Launch Week' you can learn more about it here.
Some of them are live on Product Hunt today. Join and support their launch!

• @Supabase

• @KeyHippo - first time on Product Hunt!

• @Magic Patterns

• @Quvir - first time on Product Hunt!

• @Speakeasy - first time on Product Hunt!

• @Outerbase

• @Jamsocket - first time on Product Hunt!

• @Laminar

• @Trigger.dev - first time on Product Hunt!

I recently came across some news:

Claude for Financial Services officially launched in mid-July. It s designed specifically for the finance industry, integrating data from platforms like PitchBook, Morningstar, Snowflake, S&P Global, and Databricks to support market research, due diligence, and investment decisions. During early testing, Claude Opus 4 hit 83% accuracy on complex Excel tasks.

It really makes me question how much room there is left for AI Agent startups ----LLMs are getting better at handling more and more tasks on their own.
For an AI Agent to have long-term value, it must be able to understand, remember, and adapt to a user's evolving preferences and context ---- something LLMs still struggle with due to their limited memory and continuity.

Preparing for our upcoming launch has made me look at the Product Hunt community through a much more deliberate lens than before.

Among some other patterns I've noticed, there seem to be significantly more men among hunters and makers, but def some women among active users and upvoters, and fewer women who code among those who are active than I typically encounter in other tech communities.