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llmbytes
Daily AI news, researched and written — not a scraped feed
Most AI news apps are an RSS feed with a skin. llmbytes researches each story from the original sources, writes it, and links every source under the article. Up to eight items a day, no fixed quota — a quiet day gets four rather than eight padded ones. FIRSTS — every year since 1956 and what AI learned in it, each entry sourced. MODELS — price per million tokens, context window and capabilities for the current models, refreshed weekly, stamped with the date. No account. Works offline. Free.
Hi Product Hunt 👋
I'm a solo developer in Varanasi, India, and llmbytes came out of an annoyance: almost every AI news app I tried was the same twenty RSS feeds with a different font. The same rewrite of the same rewrite, and no way to tell what any of it actually meant.
So llmbytes does the opposite. Every morning a research pass reads the primary sources — papers, model cards, company posts — and writes up to eight items. Each one is a headline, two sentences of what happened, and one line on why it matters. Every source is linked under the article, so you can check any claim yourself. If it was a quiet day you get four items, not eight padded ones. Some days it publishes nothing rather than publish filler, and I'd rather it did that.
Two things I built because I wanted them myself:
FIRSTS — a timeline of every year since the term "artificial intelligence" was coined in 1956, and what AI learned in it. The year it proved its first theorems, the year the funding dried up, the year it learned to see. Every entry sourced. Most news apps only know about today.
MODELS — the news tells you a model shipped; it rarely tells you what it costs. This is price per million tokens, context window and capabilities for the current models across Anthropic, OpenAI, Google, Meta, DeepSeek, Mistral, Qwen and xAI. Refreshed weekly from a public catalogue, and stamped with the date it was refreshed, because a price table with no timestamp is a claim with no expiry.
Being straight about the rest: it's Android only for now, it's free and supported by ads, and it's early - the daily digest has only been running reliably for a couple of weeks. There's no account, no sign-in and no email field anywhere in it, so there's nothing to delete later.
The daily digest also posts to https://t.me/llmbytes0 if you want to see the output before installing anything.
I'd genuinely like to know whether the "why it matters" line is doing its job, or whether it reads as padding. That's the part I'm least sure about.
About llmbytes on Product Hunt
“Daily AI news, researched and written — not a scraped feed”
llmbytes was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #122 on the daily leaderboard. Most AI news apps are an RSS feed with a skin. llmbytes researches each story from the original sources, writes it, and links every source under the article. Up to eight items a day, no fixed quota — a quiet day gets four rather than eight padded ones. FIRSTS — every year since 1956 and what AI learned in it, each entry sourced. MODELS — price per million tokens, context window and capabilities for the current models, refreshed weekly, stamped with the date. No account. Works offline. Free.
On the analytics side, llmbytes competes within Android, News and Artificial Intelligence — topics that collectively have 571.8k followers on Product Hunt. The dashboard above tracks how llmbytes performed against the three products that launched closest to it on the same day.
Who hunted llmbytes?
llmbytes was hunted by Prajjwal Pathak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of llmbytes including community comment highlights and product details, visit the product overview.
Prajjwal Pathak