u/ArchiTechOfTheFuture

My fig tree is loaded and I have no idea what to do with all of these.
▲ 240 r/WhatShouldICook+1 crossposts

My fig tree is loaded and I have no idea what to do with all of these.

Hi everyone,

I have this fig tree in my yard and as you can see from the picture, it's doing really well this year. The problem is, I don't really know what to do with all of it!

Sometimes we make a traditional sweet dessert by cooking the figs down with panela, but honestly... we aren't big fans of it. It's just "okay" to us.

Also, we are vegetarian, does anyone have any recommendations on what can we make? I'd love to hear your favorite savory ideas, ways to preserve them, or just things to do with them.

Thanks!

▲ 62 r/French

Maybe this is a weird hill to die on, but I think the real unlock for French pronunciation isn't IPA or audio, it's the two together.

Audio alone gave me a target but no map. I'd hear cœur and produce something that sounded vaguely close to me but completely off to a French speaker. IPA alone has the opposite problem, you can read [kœʁ] all day, but if you've never heard a uvular ʁ, the symbols are just letters.

Together though? Game-changer. I hear cœur, I see [kœʁ], and suddenly the audio isn't a vague target, it's annotated. The IPA tells my brain what to listen for in the audio, and the audio tells my mouth what the IPA actually sounds like. Rounded vowels (y ø œ) and the uvular ʁ finally clicked.

But whenever I bring up IPA, most learners glaze over. "Too technical." "Looks like math."

So, do you use IPA when learning French, or just rely on audio? For the rounded vowels and nasals, did audio alone get you there, or did you need something more symbolic?

u/ArchiTechOfTheFuture — 12 days ago

Maybe this is a weird hill to die on, but I genuinely think the International Phonetic Alphabet is the most underrated tool in language learning.

I've been studying languages for years and the thing that always tripped me up was pronunciation, not vocabulary, not grammar. You can memorize 5,000 words and still sound completely off because the textbook never told you that the "r" in French isn't the "r" you've been making your whole life, or that the Spanish "d" between vowels is closer to English "th." Audio alone helps, but my ear isn't trained well enough to hear the difference until someone points it out symbolically.

IPA fixed that for me. Once I learned the symbols (took maybe a weekend), every new word came with a pronunciation I could actually decode instead of guessing. Pair it with audio and pronunciation stops being a guessing game, you see the word, hear it, and see exactly which sounds are being produced. French (my current TL) is the perfect example: cœur [kœʁ] is impossible to guess from spelling, but the IPA tells you exactly what your mouth needs to do.

But every time I bring up IPA outside of linguistics circles, people glaze over. "Too technical." "Looks like math."

So I'm curious:

  • Do you actively use IPA when learning a language, or do you skip it?
  • If you skip it, what put you off?
  • If you use it, what made it click for you?

Genuinely trying to figure out if I'm in a bubble or if there's a quiet majority that finds it as useful as I do.

u/ArchiTechOfTheFuture — 12 days ago

Hey r/SideProject 🤩,

I'm working on a language learning app and I wanted to try something different from Duolingo's standard linear lesson path.

Instead of writing lessons by hand from a textbook outline, I used word-frequency data as the spine of the curriculum: most-used words come first, ranked into CEFR levels (A1 → B2) by their frequency, then grouped into topics like "Subject Pronouns" or "Numbers & Order."

Here's how it shows up in the app (in the video):

Data-driven progression: The hex map (spanning A1 to B2) is structured around how often words actually show up in real-world language. If you look closely at the pop-ups, you'll see the frequency rank next to each word (e.g., "you" is #9, "first" is #79). High-frequency words get grouped into logical hex nodes.

The "Drill" UI: The part I'm most proud of visually. Switching from "Explore" to "Drill" mode flips the UI to dark mode and the hexes transform into radar/spider charts. It tracks your specific proficiency in Reading, Listening, Speaking, Pronunciation, Writing, and Grammar for each word group, and lets you drill your weakest skill.

Why I'm asking if I overthought this: Building a frequency-driven curriculum felt like the "smart" call, make sure users learn the most useful words first. But now I'm not sure if all that structure actually helps a learner, or if I just spent a lot of time optimizing something users won't even notice.

Would love feedback on:

- The UI transition: Does the visual shift from the bright hex map to the dark radar charts look satisfying/clear?

- Intuitiveness: Watching the video, does the flow feel intuitive? If not, what would make it more intuitive?

- The 6 skills (Reading, Listening, Speaking, Pronunciation, Writing, Grammar): Too many? About right? Are there wrong ones?

- Would you install it? If not, what's stopping you?

Appreciate any thoughts or critiques!

https://severo.luarai.com/?utm_source=reddit&utm_medium=social&utm_campaign=sideproject_apr30

u/ArchiTechOfTheFuture — 13 days ago
▲ 6 r/SaaS

I'd been trusting the Firebase dashboard for some time. 86 installs over 50 days, retention looking OK, daily actives in the 5-10 range. Felt small but moving in the right direction.

Recently I exported the raw data so I could actually slice it myself. The first thing I tried, and the thing I should have tried on day one, was simple: filter out my own team's test accounts.

Five of us have been testing the app. Every time any of us cleared the app or reinstalled to check a new onboarding flow, the analytics counted us as a brand-new user. Over a few months, that added up to 74 fake users from 5 real humans.

Once I removed them, the dashboard looked very different:

- 86 installs → 20 real installs

- D1 retention dropped from 27% to 20%

- 5 users retained at D7 → 0. Our longest-retained real person hit day 6 and went quiet. They live in Frankfurt. No way to contact them.

- "75% organic" installs turned out to be mostly an attribution gap, people clicking untagged links from our own social posts. The Play Store didn't know where those came from, so it labeled them "organic." Not the same thing.

The lesson I keep coming back to: every metric I was quietly proud of was a story I was telling myself about my own team.

Three questions for r/SaaS:

  1. What's the first audit you'd run on your own analytics this week to test whether you're doing the same?

  2. We're now hyper-focused on attribution + finding real people. Is there a SaaS-specific anti-pattern in this story that I should also be watching for?

  3. Where would you look for early users for a language-learning app? We're in 10 languages, biggest signal we have is Spanish-speakers learning German, but open to ideas.

reddit.com
u/ArchiTechOfTheFuture — 14 days ago