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Handler is a vibe marketing agent for app marketers. It helps app teams find outlier TikToks, understand what makes them work, and turn proven patterns into clearer creative direction. Todayโs launch focuses on Handler and TikSpy: research winners faster, reduce manual scrolling, and know what to test next.
Medium
HandlerMedium is recommended for avid readers seeking a variety of topics ranging from personal development to technology. It's also ideal for writers looking to publish their work to a broad audience and potentially earn revenue through the platform's Partner Program.
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Handler's answer:
Handler is built specifically for app marketers who want to find what is already working on TikTok. Instead of guessing content ideas, Handler helps teams discover outlier TikToks, understand winning patterns, and decide what to test next.
Handler's answer:
Handler is focused on TikTok research for app growth, not generic social media management. It helps marketers move faster from โwhat should we post?โ to clear creative direction based on real winning TikToks.
Handler's answer:
Handler is made for app founders, growth marketers, mobile app teams, indie app builders, and agencies that use TikTok to grow consumer apps.
Handler's answer:
Handler was created because app teams spend too much time manually scrolling TikTok trying to understand what content works. We built it to make TikTok research faster, clearer, and more repeatable for app marketers.
Handler's answer:
Handler uses AI analysis, TikTok content research, video metadata extraction, creative pattern detection, and a web-based dashboard to help app marketers find and understand winning TikToks.
Handler's answer:
Handler is currently early, so we are not publishing customer names yet. The product is built for app founders, consumer app teams, growth marketers, and agencies working on TikTok-based app growth.
Based on our record, Medium seems to be more popular. It has been mentiond 3079 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I think it's intresting to read about the guy who made yolo, take a look at his website and later, his thoughts about the monster he may have created. https://medium.com/@graham.wallington/the-evolution-of-yolo-joseph-redmons-departure-and-the-ethics-of-computer-vision-66d9b75f0eca https://pjreddie.com/darknet/yolo/. - Source: Hacker News / about 3 hours ago
One hardly needs to soar to the exalted heights of "mysticism" or any sort of "ineffable qualities" to come into contact with the limitations of LLMs. 1) Models do not perform the functional equivalent of reasoning at all. When we reason, we don't simply babble out textual derivations of prior examples of "reasoning" to which we have been exposed, arrive at a conclusion, then occasionally state an altogether... - Source: Hacker News / about 17 hours ago
Io_uring, concurrency, TCP, mmap, systems programming Rรฉsumรฉ/CV: https://drive.google.com/file/d/1dQrgGxvun68WMty-m7A-wsR7KF3gxKdU/view?usp=sharing Email: ashishrathour1102@gmail.com GitHub: https://github.com/AasheeshLikePanner Backend and infrastructure engineer focused on systems programming in Go. I build low-level infrastructure from scratch and benchmark it honestly. Recent projects: vase โ a pub/sub broker... - Source: Hacker News / 5 days ago
Not a new phenomena - performance per dollar has been fairly steadily exponentialling since 1900 or so 1900 - 2010 https://www.thekurzweillibrary.com/exponential-growth-of-computing 1939 - 2023 https://medium.com/@timventura/kurzweils-law-for-the-ai-age-b00e82c84d5c. - Source: Hacker News / 3 days ago
QB House and its many imitators would like a word. It's a genuine mystery to me why these "fast haircut" chains are ubiquitous in Asia but unknown in the West. https://medium.com/@justin.tan/qb-house-back-to-basics-business-model-innovation-in-the-mens-haircutting-industry-c23893095e13. - Source: Hacker News / 4 days ago
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