Currently playing around with @bolt.new after being inspired by @gabe and building a bunch of mini apps, mainly for fun. Haven't pushed any to production yet but so far I'm enjoying it bar the odd hiccup where I have to roll back a few times to fix a stubborn error.
I've also looked into @Lovable and it seems pretty cool but wanted to see what people had to say about it. Is there any reason to pick one over the other and which one have you settled on?
Check out these tips from my own experiences. Let me know your own tips & tricks. Be well-prepared: Be aware of what you are going to do through 3 stages: Pre-launch, Launching and Days after launching. My team will prepare a calendar, a launching checklist and content list for both Discussions and Pitch Stories. All materials need to be ready before posting the first discussion. Content Direction: Product Hunt is kinda different from other marketplaces. The content topics need to be authentic and unique, that can engage with the whole community. Leverage your network: Engage with the community on Product Hunt and across various channels before the launch to leverage your network to gather support and feedback. Don't wait until the launch day to announce your product. Engage with your email subscribers, social media followers, and industry influencers by sending teasers and sneak peeks prior to the launch. This generates buzz and increases the chances of securing initial upvotes and engagement. Launch Time: Choose peak hours of Product Hunt Engage actively during launch: Show gratitude for upvotes and create a dialogue that encourages users to explore your product further. Take it easy: View your Product Hunt launch as a learning experience. Analyze the feedback, engagement, and metrics gathered during the campaign, and use them to fine-tune your product and marketing strategy for future launches.
Twitter's paid subscription has been confirmed. At $2.99/month it includes features such as Collections Reader Mode Color Themes Custom App Icons AND AN UNDO BUTTON!
(https://twitter.com/i/status/136...) Would you pay to undo?
We recently rebuilt Lessie AI around a different assumption: the primary user is no longer a person clicking through a dashboard, but an agent executing tasks.
Lessie started as a pretty standard SaaS for people discovery and outbound. Search, filter, inspect, export, send emails. It worked, but the interaction model started to feel dated.
The shift isn t just AI inside SaaS. Software is becoming an execution layer for agents.
So we stopped asking how to add AI, and started asking what the product looks like if it s designed for agents first.
A few years ago, AI at work meant smarter autocomplete or a chatbot on your website.
Now, I m seeing something different.
Companies are experimenting with AI agents as teammates - not just tools. They schedule meetings, file reports, analyze data, and even handle parts of customer support.
Hi Makers! Post your product in this thread if you are: (1) launching soon or recently launched (2) looking for feedback on your landing page
(3) looking for someone to beta-test your product and give feedback on the product before launch I believe in giving before asking. Start by helping someone who have posted their product, help them with their question, give a suggestion, write a review or a comment on their launch page. Once you have helped someone else out, share your product link here and clearly state what kind of help you need.
In my case, building my startup Selftalk - an app for self-therapy, transformed my character big time.
1. I became much more grounded, and connected to reality.
2. I discovered so many things about myself, good and bad, which significantly deepened my self-awareness.
3. I ve developed immense respect and compassion for fellow entrepreneurs, creators, and doers. It s easy to critique from the sidelines, but it s an entirely different experience to be in the arena, facing the challenges head-on.
I ve been hunting and playing around with AI agents for a while now, and while the progress is impressive, I keep running into things that make me think: Why can t it just do this already?
What s one thing you wish agents could do today that they just can t (yet)?
