just earned my first 100 points on Variational, and it's not a joke
I really didn't trade much here, used Var only for small DN trades and funding farming
unlike most people posting their points, almost all of mine came from trading, got about 15 pts from refs
thanks to everyone who found my ref link on my site, since I barely posted it on X
I've been regretting not paying more attention to @variational_io points the last few months
it happens, you don't always pick the right perp DEX
https://t.co/XQglXH3d9A
best points strategy in @variational_io
+211 points | $1.8m OI | $7.1m volume
imp : 32% airdrop supply confirmed
trading pairs us100, us500, $btc, $hype and $sol pairs
strategy : this week focused on OI and some volume on us100 pairs and doing delta neutral with @Lighter_xyz , @arcus_xyz perp backed by robinhood so doing 3 in 1 strategy
average position hold time is 48 hours
1 variational point expected = $100
1 arcus point expected = $5
new to these perp, create account :
join : https://t.co/DoUz7yJh7P
code : OMNIRYUZAKI ( 15% boost on points )
arcus : https://t.co/pbjTXjirS6
codes to perp : S1HYS7, 4M30IK, ODRFFM, U3PFE4, WD9CO3
strategy you also follow that i shared in the article in which you can make volume in swap us100 and get points
this week got 1m volume 1.8 points and costed $28 so if you don't want to delta neutral you can follow this also
finally also hit 10k points, it's my effort of 11 months and 2.5m more months for the tge also
variational airdrop is going to be biggest perp airdrop when others perp going dead, var making new highs in revenue and open interest so pick the right perp and right strategy matters
keep farming perps
Looks like my theory about @variational_io was right after all.
23.05 pts for 590k volume 😎
1 point per 25k volume.
Cost me $220 because I’m an idiot who can’t stick to my own rules 🙃
Even better than last week, when I was getting 1 point per 40k volume.
I’ll share more detailed data later 🫡
You can still join and earn some points. I managed to rack up these points this week with just $220 in my account 😉
Use my code -> OMNIAZEL
How a low-bankroll farmer can earn 100+ points on @Lighter_xyz.
Even with just a $1k deposit, you can farm hundreds of points before the campaign ends.
At $2-3 per point, 100 points cost only $200-300.
The key is using all available farming boosts.
What to do first:
> register on Lighter RH: https://t.co/F9DZAn7hKH
> register on Lighter Core: https://t.co/eW92Gb4PW0
> download Robinhood Wallet for 2x points
> split $500 between Lighter RH and Lighter Core
Setup complete. Now start farming.
How to farm:
> trade 5+ stocks simultaneously ($100 each with 10x leverage)
> open longs using market orders through RH Wallet
> hedge with shorts through Lighter Core
> hold 3-6 hours, max 12
> close the positions using market orders
More simultaneous positions = more points, so hold pairs like:
> NVDA
> AAPL
> MSFT
> SNDK
> SPCX
$100 margin × 10x leverage = $1k notional.
5 positions = $5k long volume.
Same amount on the short side through Lighter Core.
Total: $10k notional per round.
At $300-400k weekly volume, this can generate 30+ points.
Three weeks = 100+ points.
All my referrals get farming tips and DM support.
You’ll thank me later. Now go farm.
You don’t need millions to get 1000 points in @Lighter_xyz
all you need is consistency and efficient strategy.
only 3 weeks ago I had like 5 points, if I remember right. Farming points is way easier than I expected.
this whole time I've been trading with just $3k, and my positions have never exceeded $50k size.
I've spent very little on all these points, like ~$300, which is roughly $2,4/point.
I think I gotta farm harder before people finally figure out what a gem this is.
currently only 44,623 traders are competing for a pool of 11M $LIT tokens (~$40M), but just 5% of them are actually active.
as you can see on the screenshot, 125 points is enough to make the top 1000.
the math looks great, even if you trade with the most inefficient strategy possible.
you get a lot of points for liquidations, but I wouldn't recommend getting liquidated on purpose.
better use the strategy below:
> download Robinhood Wallet app on your phone.
> register on Lighter via Robinhood wallet for 2x points boost: https://t.co/QBxB0hrcf0
> all long positions on stock assets hedged with shorts on Lighter Core give 2,5x points boost.
> Make sure the long is opened on Lighter RH, otherwise the boost won't count, it's an official announcement.
there are 31 stock markets on Lighter, the goal is to pick the best one - low OI but also the tightest spread.
I chose 2 assets that meet these criteria: $SNDK and $GOOGL.
this week I'll be focused only on them, goal is $1m+ volume, avg holding time 6-12h, $40k OI.
also want to point out that $2,4 per point is far from the limit, I know people who farm points at $0,6.
test different strategies, keep farming perps, keep winning.
if you have any questions about farming, DM me, I'll answer everyone.
What I did in week 1 to score 49 pts for almost 50k volume on @arcus_xyz ⬇️
▫️used only Market orders
▫️traded only RWAs (nvda, hood, google, spy, qqq and few others)
▫️hold time 1-2 days bcs I was on vacation
▫️traded in the "After hrs" too which requires more margin
▫️My OI was +12k on average
All of them being DN based on Funding with riseX, txflow or variational📌
Drop a follow if useful 🫡
Arcus code: https://t.co/bcUgd6oDlp
Made with Seedance on @atlas_cloud_ai
Prompt: ⬇️
CAMERA:
Handheld DV 16mm camcorder aesthetic, first-person / selfie POV. MILA always holds the camera herself. Keep natural hand shake, slightly messy framing, delayed autofocus, awkward zoom-ins and zoom-outs, and occasional moments where part of her face gets cropped. The camcorder itself is never visible on screen.
LOOK:
Soft vintage DV tape quality with slight blur, subtle tape noise, gently bloomed highlights, mild auto-exposure flicker, low contrast, and realistic skin tones.
STYLE:
Bright, playful backstage vlog energy with a polished pop-star feel. Natural smiles, direct eye contact, candid excitement, and quick handheld moments that feel spontaneous and fun.
CHARACTER:
MILA — a beautiful Instagram-style brunette model and performer in her 20s. Long dark brown hair, glowing skin, attractive feminine features, glossy lips, expressive eyes, slim fit figure. Wearing a stylish stage outfit with soft glam makeup and delicate sparkly earrings.
SETTING:
Backstage hallway of a music show venue, with dressing room doors, MILA’s name tag on one of the doors, a snack table, overhead PA speaker, and blurred staff occasionally moving through the background.
SEQUENCE:
1. Selfie: she peeks into the hallway with a grin.
“Hi guys, I’m backstage right now.”
2. Quick pan down the corridor.
“This place seriously goes on forever.”
3. She stops at her dressing room and points to the name tag.
“That’s my room.”
4. Close-up of the name tag as she taps it.
Ambient backstage audio only.
5. Quick outfit check near a mirror with a playful little turn.
“Okay... stage look check.”
6. At the snack table, she grabs a small snack.
“Just grabbing a tiny pre-show snack.”
7. Mid-bite, the PA announcement cuts in. She laughs.
“Oh wow—right on time.”
8. Selfie ending: she hears the countdown, gives a wave and a finger-heart, then hurries toward the stage.
“That’s my cue — see you after the show!”
#AIVideo
Arc 🤝 XyloNet
XyloNet is live on @Arc from day one.
What it unlocks:
→ Swaps: swap assets across chains with optimized routing
→ Bridging: move assets across supported networks seamlessly
→ PayX: receive and tip X handles in USDC, powered by XyloNet
A stronger DeFi layer for the Arc ecosystem
Explore: https://t.co/2QOmGOLMqo
fun fact
@ponsdotfamily , the main launchpad of robinhood chain, is the fastest company in HISTORY to reach 100m ARR
that includes the ai companies, the trading companies, the robotics companies, across all sectors
@MEADGod you are in the history books now
winners win
$1.1B into the “Machine Age” is another signal of where capital thinks this is going, the next phase of AI isn’t only about better models.
It’s more compute, more autonomous software, more agents acting on behalf of people and companies, and eventually more machines transacting and coordinating with each other.
That creates an entirely new infrastructure problem.
When thousands or millions of autonomous systems are constantly choosing models, compute, tools and execution paths, the layer coordinating all of that becomes critical.
We’re moving from AI as software you use to AI as infrastructure that runs continuously.