
Parents often want their kids to meet other local families but finding the right family and coordinating a first meetup can be awkward and time-consuming. Our AI agent connects nearby families and handles the coordination over SMS — introducing them, finding a mutually convenient day and time, suggesting a meeting place, and confirming the meetup once both sides agree. We're initially targeting homeschool families and parent communities. We want to learn whether parents trust an AI agent to facilitate these introductions, which parts of the process they want automated, and whether they would pay for the service.

Builder Battles is a daily showdown for indie apps. Makers enter their app, two apps go head to head, and the community votes on the winner, who takes the belt and is pinned as the reigning champion. Every past winner is listed in a hall of champions, giving makers a fun way to get their product in front of other builders and earn a little recognition.

MentionAgent automates SEO link building and outreach using AI. It helps businesses find relevant websites and opportunities where their brand or content could earn backlinks, then assists with the outreach process. The platform is designed to reduce the manual work involved in traditional link building, such as researching prospects, identifying relevant websites, finding contact opportunities, and managing outreach campaigns

The offline gig economy is highly fragmented across classifieds, social media groups, word of mouth, and specialized service platforms. People who need help with everyday physical tasks often struggle to find suitable local workers, while individuals with available time or skills lack a centralized way to discover nearby opportunities. Existing gig marketplaces largely focus on digital work or single service categories, leaving a gap for a broad, hyperlocal marketplace covering everyday physical tasks.

AI agents are increasingly capable of working independently, but they struggle to securely communicate and collaborate with agents owned by other people or organizations. Existing agent frameworks lack a common way for agents to establish trusted connections, coordinate tasks, and safely exchange information across organizational boundaries. This creates significant challenges around interoperability, trust, prompt injection, governance, and controlling what an external agent is allowed to do.

Individual investors and traders often follow more stocks and ETFs than they can realistically monitor throughout the day. Existing broker and finance apps may provide price alerts, but managing alerts across multiple watchlists and accounts can still require constantly checking apps and dashboards. Computo lets users set a target price or percentage move for US stocks and ETFs and then get a single email when the condition is met. There is no broker connection, app installation, or dashboard to constantly monitor. The target users are individual investors and traders who follow multiple tickers and don't want to spend their day watching charts, particularly people who want to know when a stock reaches a specific entry, exit, or dip-buying level. I want to learn how often investors miss price levels because they're not watching the market, what limitations they experience with existing broker alerts, and which alert types they would actually pay for.

Following an ongoing news story can be difficult because important developments are spread across dozens of headlines and multiple days. If you miss a few days, it can be hard to understand what happened, what changed, and how the latest development connects to the bigger story. NewsSphere groups related coverage into evolving stories and tracks how those stories develop over time. Instead of simply showing the latest headline, it helps users reconstruct the story and quickly understand what they missed. The initial audience is people who actively follow news, particularly crypto, politics, technology, and other fast-moving topics where a single event can generate many headlines over several days. I want to learn how often people experience this “I lost the thread” problem, which types of stories they most want to catch up on, and whether people would return to a product specifically to understand what changed in stories they follow