mmumble for Reddit

Voice typing in Reddit comments that actually engage with the post

Every subreddit has its own dialect. mmumble is an AI voice keyboard for iPhone built for Reddit's long, nuanced reply culture, with the obscure references and proper nouns the platform runs on intact

Download for iPhone
mmumble used in Reddit

Why voice typing in Reddit hurts today

Reddit comments live or die on specificity. The long, nuanced reply that actually engages with the OP is the rule, not the exception. Apple Dictation drops words after two clauses, so anything past a one-liner gets garbled. The names of films, bands, authors, niche software, technical terms — all the things subreddits actually talk about — come through wrong. People end up posting short, generic comments because the long, specific one was too hard to type.

How mmumble handles Reddit

Long comments hold together. Proper nouns from niche subreddits stay intact. Tone matches where you're posting, casual on r/casualconversation, more careful on r/AskHistorians. Self-corrections cleaned up so the comment reads coherent.

Comment 3x faster
than thumb-typing

Long replies become possible from a phone instead of saved for a laptop session

iPhone keyboard 50 wpm
i'm going to push back on a few things here because i think the framing in the original post misses some context. first, the historical comparison to the 90s is not a clean one, the market conditions were very different and the regulatory environment hadn't yet shifted in the direction we're seeing now. second, the assumption that consumer behavior would track the way it did in your example is doing a lot of work, what i've actually seen in the data over the last three years suggests something closer to a step change rather than a continuation, happy to share sources if you want. third and most importantly, the conclusion you're drawing depends on the first two points being true, which i don't think they are · 
mmumble 150 wpm
i'm going to push back on a few things here because i think the framing in the original post misses some context. first, the historical comparison to the 90s is not a clean one, the market conditions were very different and the regulatory environment hadn't yet shifted in the direction we're seeing now. second, the assumption that consumer behavior would track the way it did in your example is doing a lot of work, what i've actually seen in the data over the last three years suggests something closer to a step change rather than a continuation, happy to share sources if you want. third and most importantly, the conclusion you're drawing depends on the first two points being true, which i don't think they are · 

Yes, in every language
Reddit has a subreddit for

99+ languages, with niche proper nouns from films, shows, books, and games

YesOuiJaSimDaДаTakAnoIgenKylläJahTaipΝαιIeכןنعمبلهہاںहाँহ্যাঁEvetBəliใช่VângはいOoOpoIyaNdiyoYeboአዎӨйеఅవునుஆம்

What it looks like

Recommending a film in a movies subreddit

You say

"if you liked drive my car, you should watch ryusuke hamaguchi's earlier film happy hour, its 5 hours long but it earns every minute"

mmumble types

If you liked Drive My Car, you should watch Ryusuke Hamaguchi's earlier film Happy Hour. It's 5 hours long but it earns every minute.

Explaining something technical

You say

"the issue is that postgres ll lock the row for the duration of the transaction, so if your batch is too large you'll see contention with other writes, smaller batches usually fix it"

mmumble types

The issue is that Postgres will lock the row for the duration of the transaction, so if your batch is too large you'll see contention with other writes. Smaller batches usually fix it.

Quick reply on a casual post

You say

"this is the funniest thing ive seen all week, op please post more"

mmumble types

this is the funniest thing I've seen all week, OP please post more

Also works in