u/Substantial_Act8046

When I write German, I can usually stop and think:

verb second
past participle at the end
subordinate clause sends verb to exile
modal verb chaos
separable prefix betrayal

But when I speak, my brain does not wait for grammar.

I start the sentence, realize I need a dependent clause, panic, throw the verb somewhere, and hope Germany forgives me.

I’m trying to fix this with sentence-frame practice instead of memorizing more rules.

Current stack:

• Grimm Grammar for quick structure review
• German.net for drills
• Anki for reusable sentence frames
• DeepL Write to compare cleaner versions
• YouGlish for real examples
• ISSEN for live roleplay where I have to answer without over-planning
• voice recorder to catch where the sentence collapses

Frames I’m drilling:

• Ich glaube, dass…
• Wenn ich Zeit hätte, würde ich…
• Ich habe gemerkt, dass…
• Das Problem ist, dass…
• Ich würde sagen, dass…

Has anyone trained word order specifically for speaking?

Not understanding it. Actually using it while talking.

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kept seeing people argue about which platform is cheapest so i just pulled the real per trade numbers. three of them charge a percentage (vested, indmoney, paasa), ibkr charges per share which doesnt fit a percentage table, so i assumed ~$100/share to line it up:

trade size	ibkr	vested	indmoney	paasa
$200	$0.35	$0.50	$0.50	$0.50
$500	$0.35	$1.25	$1.25	$0.50
$1,000	$0.35	$2.50	$2.50	$1.00
$2,000	$0.35	$5.00	$5.00	$2.00
$5,000	$0.35	$12.50	$12.50	$5.00
$10,000	$0.35	$25.00	$25.00	$10.00

rates: ibkr $0.0035/share ($0.35 min). vested 0.25% ($35 cap). indmoney 0.25% ($25 cap). paasa 0.10% ($0.50 min, $40 cap)

ibkr is clearly cheapest, paasa is cheapest of the percentage ones. but heres what i realised once id actually done it: in rupee terms this barely matters for most people. on a $2000 buy the gap between priciest and cheapest is about $4

if you invest once or twice a month thats a few hundred rupees a year. youd have to be trading pretty actively before brokerage difference adds up to anything youd notice next to your actual returns so i wont recommend picking a platform based on brokerage rates, the difference for a normal investor isnt worth worrying over. quick notes on each:

indmoney. easiest to start, dashboard is the best part, mfs/fds/us stocks all in one view. one thing to watch is the dollar conversion, the rate is a touch worse than real one (roughly 1-3%) and its baked in so you dont notice it. us stocks only. overall i really like the concept

vested. nicest app of the four, baskets are fun and the tax loss harvesting tool (needs premium) is useful. brokerage caps at $35. also us only. for most people just buying us stocks and etfs this or indmoney is honestly all you need

ibkr direct. cheapest by a clear margin and most established, every exchange available, interest on idle cash. problem is entirely on the india side, you do your own remittance, form a2, fema codes, tcs and schedule fa, in usd, with no india tax docs generated. if you dont mind that, its the best wrt reliability and brokerage

paasa. runs on ibkr underneath so similar access, but with india paperwork handled. cheapest of the percentage apps. downsides: its a startup and youngest here, and the app feels a bit jittery while navigating. theres an apex tier matching ibkr pricing but it needs advisory at 1% aum, not worth it imo

now the one reason i personally went down this whole rabbit hole, and its niche so skip if your portfolio is small: i read about us estate tax and got worried because my portfolio is over 60k usd and im planning 2k usd per month going forward (increasing ~10% yoy)

the fix to this 40% tax problem is irish domiciled ucits etfs (cspx, vwra) which arent us assets so they sit outside it. only ibkr and paasa let you buy those. thats the actual thing that had me looking to switch, the brokerage comparison was just something i did because i was switching anyway. (was using both indmoney and vested before)

but to be clear, that estate tax angle only kicks in if youve got a large us portfolio. if youre investing a few lakh its irrelevant, and vested or indmoney are perfectly good

built custom eval framework on top of langchain callbacks + custom rubric DSL + sqlite for trace storage. ~5 months of eng time. has caught real failures.

8 months in:

1. maintenance burden is ~15% of one eng's time
2. coverage is narrower than commercial tools (no multi-turn adversarial, no continuous prod-trace eval)
3. integration with new langchain features lags ~2 months
4. team turnover means knowledge transfer is brittle

debating scrapping it and moving to commercial. cost is real ($$$/month) but eng time saved is more valuable.

how have people made the build-vs-buy call?

What's everyone using as their daily driver in 2026? Specifically for UPI scan-pay and offline spends. Have a few premium cards but they all suck for offline UPI. 30-35k a month flowing through GPay savings without earning anything. Curious what the sub's stack looks like.

I’ve been trying shadowing for French and I can’t tell if it’s genius or if I’m just mumbling behind a podcast like a sleep-deprived parrot.

The good part:
I notice rhythm more.
I copy intonation better.
My mouth gets used to French sounds.
I stop pronouncing everything like written English.

The bad part:

I’m not sure it transfers to actual speaking.

I can repeat a sentence after InnerFrench, but when I need to create my own sentence, I still hesitate.

Current experiment:

• InnerFrench short clips for shadowing
• Audacity to loop difficult lines
• YouGlish to compare the same phrase
• Forvo for words I butcher
• ISSEN after shadowing to use the same phrases in a real answer
• voice recorder once a week to hear if I’m less robotic

For people who shadowed French seriously:

Did it help your speaking, or mostly pronunciation/listening?

What made it transfer into real conversation?

our rto was sitting at like 34% (fashion, mostly cod) and it was quietly eating all our margin. spent the last 6 months throwing everything at it. it's around 16% now so figured i'd share since honest info on this is hard to find.

the single biggest thing was partial cod on the dodgy orders, the risky ones (bad pincodes, first timers, high value) pay a bit upfront. that filtered out most of the junk. otp at checkout cut the fake and typo numbers too, and checking addresses before shipping caught the undeliverable ones.

stuff that wasted our money: blanket cod blocking (killed real orders, angry customers), and an expensive "ai rto prediction" tool that didn't plug into checkout so we couldn't actually do anything with the score. and ringing every customer to confirm, annoying and didn't scale.

no silver bullet, just a pile of small fixes. having most of it (partial cod, otp, address, checks) in the checkout itself is what made it manageable instead of ten separate tools.

happy to answer anything.

shifted to surat for work. flat has no purifier.

buying RO feels like extra expense because stay not fixed. rent pe lena safe hai kya or servicing headache?

anyone tried?

Spent two weeks assuming our retrieval was broken. It wasn't.

The right chunks were in the context window every time. I verified manually across ~50 failing cases. The retriever did its job. The LLM then synthesized a wrong answer from correct context, either by:

• combining two chunks incorrectly
• over-weighting one chunk and ignoring a contradicting one
• making an inference the chunks don't actually support
• answering confidently when the chunks were ambiguous

This is a synthesis failure, not a retrieval failure. RAGAS faithfulness sort of catches it but not reliably, because the answer often is loosely supported by some chunk, just wrong overall.

How are people specifically catching the "good retrieval, bad synthesis" failure mode?

Hi guys

What's the coolest DC merch you own?

I'm planning to buy some; any recommendations for shops/merch would be appreciated.