I’ve spent the last 3 months building a crawler to index the public parts of Telegram (https://telehunt.org). The native search is essentially a black box that favors the top 0.1% of bot almost invisible.
The Tech: I had to deal with rate limits and the lack of a global 'sitemap'. I’m currently using a hybrid approach of metadata scraping to keep the index fresh.
The Goal: It’s an experiment in making 'un-indexable' bot data discoverable.
You may be overestimating the number of bots that meaningfully exist. The vast majority of bots (and public channels) on the platform are nonfunctional and/or spam.
wikipedia "A search engine is a software system that provides hyperlinks to web pages, and other relevant information on the Web in response to a user's query".
I think there can be different expectation connected to this term. It seems to be a "search engine" for bots. Bot directory does not have to have "search" functionality, right?
I recently came across Soul by this AI startup Higgsfield, and it produces some of the most photorealistic images I’ve seen from a generator so far. Unlike many tools that go for a stylized or synthetic look, this one focuses on realism, lighting, texture, and detail are all handled in a way that makes the results almost indistinguishable from actual photos.
What stood out to me is how convincingly it replicates the look of real photography. The images feel like they could’ve come straight from a high-end camera. Not sure what they’re doing under the hood, but it’s a noticeable step up from most models I’ve used.
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