https://www.flowkit.in/ (not my own project) Came across this on reddit, some college kid made it and it blew up with 1,000+ downloads in under 72 hours. It's apparently been surging. You can close the popup prompting for an email, that's mainly to siphon off spam, you don't need to sign up to download or use anything. Quality looks decent too, happy holidays!

Pitching an attraction offer to design AI enablement resources dedicated to a company (it's just running a Canva + scraping workflow and sharing the results) I've thought about narrowing this for sales directors. Goal is to educate them on AI-use and offer free resources that they'd need. Talk CRM hygiene/automations, speed-to-lead, automated reporting, etc. Similar to what you'd see on LinkedIn but minus the marketing flourish That's the copy, I'd brand it so it seems like I made it just for them. I've flirted with doing this for other verticals but feedback loops (from conversations) suggest friction. Nobody reads this stuff for more than 5 seconds. I know these directors will skim (or ctrl+f) to just find what they're looking for. I'm just trying to plant seeds for trust, surface area. If I hit something relevant, then they'd bite. That's the pulse I'm trying to get to. Figured best approach is industry-layer personalization, but I feel like it's easy to context-bloat with articles and company pages. Real pain points usually come up in conversation, but I gotta get there first. This feels like I'm just skating to where the puck might be, fingers crossed. I also am not positive on where to find top performing email campaigns that do this well, so I could be shooting in the dark Going to run a LinkedIn campaign alongside it, so the volume is privy to however many connections LinkedIn will let me do week by week. Quality > quantity until I see it working, then I'll ramp up on how many I reach out to. Goal is to get responses and engagement, not immediate conversion. CTA is 15 minute chat with me, where I actually pitch them on paid engagements etc. I'm also prototyping a funnel on my site that has a similar function (excite --> educate --> short prong qualification into offer scaffold --> book a chat) I've got the domains, inboxes, everything all warmed up and ready to go. Ideating on doing this right, roast me if I'm overthinking on differentiation

Anyone else encounter this thing where they post in a bunch of different groups and then 80% of the DMs end up just being long-winded, poorly made pitches? Whenever I see someone posting an issue, I see no point in waving a carrot in front of them. Just send them the resource/link and move on, build goodwill, what's with this pretense that you have to be compensated for every single idea you produce? I've gone back and forth maybe 4 or 6 times with the same talk track, the other end just mirroring the problem. Telling you they can fix it, then they push for you to give a budget and to then pay them in advance of them telling you HOW they'd fix it. Why is this so common? I've had this happen over a dozen times from all sorts of different Skool groups. I could truthfully deep research and google long enough to find answers, but I'm just trying to converse and learn through people too. I get it, if it's a repeat thing, sure, charge for support, but one-off without any rapport? "Compensate me for my time" while they're just doing the same search engine hopping you could do anyways. Boggles my mind Who's out here paying for ideas? Am I too Canadian? What is this? P.S. This happens primarily in AI and Automation groups, stinks the community experience if you're trying to charge everyone with a pulse

https://research.google/blog/titans-miras-helping-ai-have-long-term-memory/ The TL;DR is they found a way to weigh memory into the inference points that a LLM goes through, rather than having it be separate, it assigns a weight to the memory as it forms. Worthwhile memory gets kept, not-so-important stuff gets purged ("weight decay"). As of December 4th, this is another huge leap on AI capability. Inference points are basically what LLMs use to make small jumps in understanding context, which makes or breaks the experience for a user. After their memory is bloated (thread gets too long), those jumps get harder and harder to make. Weights are an extra metric that evaluates whether or not it should forget in real time. There's no such thing as "infinite memory", it's actually more Gemini-fans hyping it up, but this does have remarkable promises (Exhibit A - Gemini producing $5k per vending machine) Won't be long until this gets plugged into open source models, opening a new wave of vision-capable AI (think Kimi but in more hardware). Stringing a bunch of smaller AI agents as well, the implications can get scary The question is how much of this is marketing vs actual research-backed architecture? Links to the white papers: https://arxiv.org/abs/2501.00663 https://arxiv.org/pdf/2504.13173 "Infinite Memory" Claim Source "Instead of compressing information into a static state, this architecture actively learns and updates its own parameters as data streams in."

Title https://www.comfy.org/ for context Running into issues that Google/Perplexity can't save me from and I've poured days into this. Last resort if I can't crack this, it is what it is Shoot a DM if you've got experience with this UPDATE: Loom with more details