In today s fast-paced digital landscape, email automation has become a cornerstone of effective marketing strategies. Whether you're nurturing leads, engaging customers, or driving conversions, the right email automation tool can make all the difference. With so many powerful platforms available, I'm curious to know which one you rely on to streamline your email campaigns and connect with your audience. Cast your vote and share your thoughts on why you prefer your chosen platform. Your insights could help others make informed decisions about their email marketing tools!
I ve been thinking a lot about the gap between having ideas and actually turning them into consistent content.
While building an AI content tool for creators, I noticed something interesting: a lot of people don t seem stuck because they lack creativity. They re stuck because they don t have a clear content direction.
They may have interests, personality, skills, and stories but they don t know how to turn that into a niche, a content plan, or repeatable posts.
For founders building creator tools, marketing tools, or AI products:
Google recently published findings from a survey of 5,000 software developers.
According to Google Cloud s DORA report, 90% of respondents already use AI at work, spending an average of around two hours per day working with AI tools.
That number suggests AI is no longer an optional productivity tool. For many developers, it has already become part of the daily workflow.
The more interesting question may no longer be, Should developers use AI?
Hello everyone! One of the models we are using is Seedance-2.0/image-to-video, specifically for jewelry virtual try-on videos via fal.ai API. The issue that its not letting to generate video when face of the model is present, and its super crazy considering that image of the model was generated by AI. Do you know where we can get API access (for US Company) to this model without such strict censorship? Try a few including direct Bydance, but no luck - "not allowed in your region"
I m a maker shipping meeting transcription with a hard constraint: after a job finishes, even we shouldn t be able to read the archive (device-bound keys / dual-wrap).
The awkward part every privacy AI hits: cloud ASR still needs a short in-memory plaintext window. We call that out instead of marketing E2EE everywhere.
On the buyer side we also keep risk low: within 7 days, if you ve used 30 hours of transcription, unconditional refund.
Everyone went crazy in 2025 after AI Memory. There are atleast a dozen launches in the space on product hunt from june-december, but the problem seems far from solved. Are you using any of the current memory systems (platform specific or interoperable ones, doesn't matter). What do you still hate in these systems? is it context repetition? is it hallucinations? is it inability to move between systems with your memory intact? Want to wrap up the year knowing what people actually need!
As I work on my next product, I've realized that many assumptions I had when I started building no longer hold up.
For example, I used to think shipping more features would make a product more valuable. Now I'm questioning whether solving one painful problem exceptionally well is usually the better approach.
I'm curious about the lessons that permanently changed how other founders build.
I've noticed a gap between what my dashboards report and what actually needed my attention that day. Curious how others define "staying on top of it," is it a number you check, a feeling, a routine?
I run a few businesses at once, and the hard part was never information, it's attention. Everything has a dashboard, but nothing tells you which fire is actually worth putting out today versus which one will burn itself out on its own. Curious how other multi-business folks decide what gets their focus on a given day, gut feel, a spreadsheet, something else?
