I want to buy SOL and earn by staking, which platform or wallet do you recommend and how safe is it? Are there any risks?

Last week, the network processed an incredible 1,153,543,677 transactions, setting a new all-time record for weekly activity.

As market sentiment becomes increasingly bullish, more liquidity, trading activity, and users are moving back on-chain and Solana is clearly absorbing a significant share of that activity.

Huge congratulations to the entire Solana community and everyone building across the ecosystem.

The bar has officially been raised.

And knowing Solana… it probably won't stay there for long.

I've been building an index of pump.fun deployers for a few months —
resolving each token back to the wallet that actually created it and then
walking that wallet's full history. It's at 16,249 wallets and 310,461
launches now. Some of what fell out surprised me, so I'm sharing it.

The concentration is the part I didn't expect:

- 3,200 wallets account for 295,431 launches. That's 95% of everything
  I've indexed.
- Narrow it further: 700 wallets have 100+ launches each, and between
  them they've made 242,069 tokens.
- The single busiest wallet I've found has 2,352 launches.

Then the survival rate. For wallets where I've measured at least 10 of
their launches properly (2,035 of them), the mean dead rate is 99.6%.
1,904 of those 2,035 wallets have never had a single launch survive —
not one that still has liquidity in it.

Only 660 wallets in the entire index have ever produced a token that
cleared pump.fun's ~$69k graduation threshold.

Some caveats, because the method matters more than the numbers:

- "Dead" means the pair has under $1k of liquidity left. It doesn't mean
  fraud. Tokens die for boring reasons too.
- I resolve the deployer from the Create transaction, not the mutable
  creator field, because that field can be transferred and often is.
- "Sampled" wallets are only the ones where I could walk 10+ launches
  and verify outcomes. Anything less and I don't count it.
- There are legitimate reasons to launch a lot of tokens. I'm measuring
  what happened, not intent.

What I'm curious about: does the 700-wallet concentration match what
people here see from the trading side? I only see it from on-chain data
after the fact, and I'd like to know whether that lines up with how it
feels in real time, or whether I'm measuring something narrower than I
think.

Happy to pull specific numbers if anyone wants a particular cut of it.

(Disclosure: I do run a tool built on this data. Not linking it — the
numbers are the point and I'd rather talk about the method.)

I posted here a few months back about DeFade, the memecoin analyzer I've been building. Plenty has changed, so this is an update - but the part worth your time isn't the feature list. It's that I tried to turn the scanner into something that calls entries, the first attempt lost almost everything, and the post-mortem taught me more about this market than any of the wins did.

Part 1 - the scan

The core product is still the same one-line pitch: paste a contract address, get the truth about it.

A scan returns a rug pull probability from 0 to 100 - a weighted composite with kill-switch floors, so a single fatal condition can't be averaged away by a dozen healthy-looking ones - plus every piece of evidence that produced it. Roughly 29 modules, 13 of them free:

Distribution - holder concentration with the pool, burn address, lockers, CEX wallets and contracts classified out. This matters more than it sounds: read a raw top-10 list and you'll count the liquidity pool as a whale and panic over a perfectly normal token. There's also an exit liquidity calculator (what actually comes out if you try to sell your bag into the current book) and a bubble map.

Coordination - bundle detection with a launch window pass plus a delayed sweep hours later, accounted on peak net exposure rather than naive buy totals. Sniper bots, Sybil band clustering, an insider network graph, a cross-funding graph, and multi-hop funding-origin tracing that walks back toward a KYC'd source.

Actors - creator intelligence and serial-deployer detection, dev wallet tracking, fresh wallet detection, smart money and copy-trade tracking, plus a reputation ledger for deployers and wallets that fills in as scans land.

Market - LP burn and lock verification (including v3/v4 position-based liquidity), lifecycle stage, social sentiment timeline.

Two examples of why this is harder than it looks, both real bugs I shipped and then had to fix:

• Bundlers stopped holding. The obvious way to measure a bundle is "how much supply did these coordinated wallets buy, and are they still holding it". Then I hit a token where the bundle wallets sold and forwarded the proceeds to a collector in the same transaction, so extraction measured as zero. Then the exact inverse: tokens hop to fresh wallets first, and those fresh wallets do the dumping, so the original bundle looks like it's still holding while the supply is already gone. Both needed one-hop follow accounting, credited to a separate bucket so the numbers stay honest.
• A bot made an innocent token look like a serial rugger. One token came back flagged with "25 prior rugs" from its deployer family. It was a false positive: a permissionless MEV bot that cranks bonding-curve -> AMM migrations buys atomically inside the pool-creation transaction, so it appears as an early insider on hundreds of unrelated launches. Fixing it meant detecting the migration instruction deterministically rather than inferring intent from timing.

It runs on Solana, Ethereum, Base and Robinhood Chain, in the browser, as a Chrome extension that scans whatever token page you're already on, as iOS and Android apps, as a Telegram bot, or as an API if you are building something. Free tier is 3 full scans a day with all the core modules, no card, no account needed for the basic path.

Around the scanner there's a public rug database of everything flagged, a survival tracker (how long scanned tokens actually lived, using drawdown-based death detection rather than waiting for a zero), deployer and wallet lookup, and shareable receipts for calls that aged well or badly.

Part 2 - Signals, which is in testing and not live yet

A scanner answers "is this dangerous". I wanted to know whether the same data could answer "is this attracting real capital". So I built a signal pipeline - market polling for momentum, liquidity behaviour and volume quality, combined with the scan snapshot for holder and dev quality - with a forced outcome ledger. Every fire is dated, and its forward return is tracked at 1h/6h/24h/48h whether I like the result or not.

First cohort: 17 fires, median return -96% at 24h.

The post-mortem is the useful part, because the losses were not what I assumed:

• They weren't rugs. Only 1 of the signalled tokens ever entered my own rug database, and several are still alive today. I had built a rug detector and pointed it at a problem that wasn't rugs.
• They were tops. Every bad fire happened mid-vertical - the 1h change at the moment of firing ranged from +137% to +578%. The three fires that actually ran afterwards had 1h changes between +3% and +28%. My momentum scoring treated "already went up a lot" as its strongest positive signal, which is a top-buying machine with extra steps. Momentum now inverts past the extremes: beyond +120% on the hour it's capped and labelled "PARABOLIC - LATE".
• Thin-book markups look identical to real moves. A 50%+ hourly move with under 15% liquidity growth is someone marking up an empty order book. That was the signature of the worst fires: price up several hundred percent on a stable $19–33k pool.
• High turnover is not wash trading. I nearly shipped a rule rejecting anything trading over 5x its market cap in a day. It would have rejected 30% of the candidate pool and every signal that ever worked - one genuine runner did 18.5x turnover and ran 3.3x. The real wash signature is turnover with no consequence: high volume plus a price that went nowhere over six hours. Over one hour, even a real runner looks flat between legs.
• The deployer check was silently missing. Two components disagreed about a response shape - one returned the reputation nested, the reader expected it flat - so serial ruggers scored as CLEAN with no error logged anywhere. Every fire in that cohort was made without a signal it claimed to be using.

Replaying the corrected rules against all 17 historical fires blocked 12 of them, including every bad one, while preserving the three that ran.

Where it stands after the fixes: 9 signals, 9 distinct tokens.

Peak multiple from the moment each signal fired: 56.8x, 37.9x, 16.2x, 15.9x, 6.6x, 4.6x, 3.5x, 1.5x, 1.0x. That's 78% reaching 2x and 56% reaching 5x, with a median move of +31% at 1h and +208% at 6h. The two that didn't work: one is flat, one drew down 73% and is the clear loser of the set. A third of the set drew down 30%+ at some point even while working, which is the number I'd actually pay attention to if I were trading these - peak multiple is not what you realise, it's what was theoretically on the table.

Nine calls is not evidence. It's an early read that the entry-quality rules are doing something, on a sample small enough that two bad weeks would erase it. That's exactly why the ledger is built into the product instead of screenshotted when convenient, and why Signals is still in testing behind a gate rather than launched: I'd rather be publicly wrong on a timestamp than sell a backtest. It opens when the record earns it.

Free either way

The scanner is free at 3 scans a day with the core modules unlocked, which is enough to check a coin before you ape it. Paid tiers exist for people working the feed all day, but the free path is the one I'd want a first-time visitor to use.

defade.org - happy to answer anything technical about the detection, and genuinely curious what people think the momentum inversion gets wrong, because that's the rule I'm least sure about. A few things in this post came from comments on the last one.

Still slightly stunned by this part: 350+ people now pay for it, over 1,000 use it free, and 22 are on API keys - which for something I built to check my own bags is not where I expected to end up.

https://preview.redd.it/cytx3y4hctjh1.png?width=1310&format=png&auto=webp&s=f913372b2adf10d3296318f18a01c03f229ff751

im not in the us and getting exposure to us stocks has always been more hassle than it should be. finding a broker that will even take you, the forms, wire fees, minimums, and plenty of them just dont deal with my country at all

tokenized stocks look like they solve that but im struggling to work out what im actually buying. is there a real share sitting in custody somewhere with a token representing it, or is it a synthetic thing that just tracks the price. those feel like completely different levels of risk to me and i cant tell which one im being offered half the time

im also unclear what happens with dividends, whether you see them at all, and how any of it gets treated at tax time where i live. that seems like something to understand before rather than after

the geo restrictions are backwards here too which i find funny. normally crypto stuff blocks everyone outside the us and with this its us residents who cant touch it and the rest of us can. that makes me a bit suspicious that the reason i can access it is regulatory rather than because its genuinely a better product

anyone outside the us actually been holding these for a while. what are you in, and has anything gone strange when you went to sell or when a dividend was due?

I’ve spent the last several months building something in the Solana space, a real working product, not an idea on a whiteboard. I can’t get into specifics here, but I’ve been posting about it on Reddit if you’re curious enough to look.

I’m a builder. That part I know how to do. I can sit with a problem until it’s actually solved, think through edge cases most people wouldn’t bother with, ship something that works the way it’s supposed to.

Getting people to know it exists is where I fall apart. I don’t have a marketing budget. I don’t have the network. I’m not someone who’s naturally good at being loud about what I’ve made, and I’ve watched that gap sit there the whole time I’ve been building, knowing the work itself was never going to be the reason it succeeds or fails.

The goal behind what I built was making this space a little less zero-sum, more people walking away better off than they went in. That only means anything if people actually see it.

So this is me just being honest about where I’m stuck. If you’ve ever built something you believed in and had no idea how to get it in front of anyone, you know exactly what this feels like. So I’m asking what it would take for to connect with someone like me and collaborate if you have the network skillset or anything of the sort?

I just got accepted for the solana trubin3 cohort.
Just wanted to know if it is worth it or not, kindly do share your experience if you have been in these cohorts!

Will this help me to get a job?!
And what type of task will be given at first. They mentioned that people who finish the 1st task will only enter into the cohort officially

I have ETH that I want to move over to Solana. But I’ve never bridged from Ethereum before. Every guide I find is either two years old or mentions a less popular bridge.

From my initial research, there are two routes: bridge it directly, or send it to a centralized exchange and convert. The latter feels safer to me since I don't have to pick a third-party bridge.

There are a few things I need more clarity on:

I will get wrapped ETH on Solana. So does that change what I can actually do with it in different DeFi apps?

How much SOL or ETH do I need to pay in bridging fees?

Are third-party bridges genuinely cheaper than the exchange route once I calculate the fees?

I had some SOL in my phantom wallet and needed to add some cash to CashApp. So I converted a small bit to USDC in my phantom wallet and sent it as a test to CashApp. It was a success. Went back to phantom to transfer the rest but forgot to swap the sol to USDC first and sent it. The transaction was a success on the blockchain but cashapp says they cannot do anything about it. Since they don’t accept sol. I’ve been going back and forth in support with them. I cannot believe the only one to ever make this mistake. There must be thousands of SOL in limbo in the CashApp sol network wallet. $1500 is a tough loss for me. I have saved an image from Solscan with my CashApp wallet showing the SOL and USDC in my account.

About. 6 months ago, I created a path.
What would be best?
Cherry bot? Or ads?

I'm trying to get better at catching memecoins early, and Twitter is obviously where everything surfaces first. But I am finding it close to useless.

The problem is that everyone posting tickers is either paid to post them, or is just as late as I am. The accounts that call the loudest are often the same ones quietly deleting their posts after their bags tank. Also, following more people has actively made this worse for me, not better.

What I'm doing now is tracking a small private list of maybe 15 accounts. These are the people who highlight trends before they pick up. I’m still not sure whether this is the right approach. Either way, I still cross-check onchain data before I believe any calls.

What are some good tools to track this?

Welcome To The Weekly Thread !

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Somewhere between a corner store, a silver vault, and a gacha machine, Solana had a week. Cash access hit nearly 500K retail locations, silver came onchain fully audited, and a luxury watch is waiting to be pulled.

Here’s everything that shipped this week:

📰 Headline News

- @MoneyGram launched Ramps on Solana, giving builders access to 60M+ customers across ~500K locations in 170+ countries via one API
- B@ullish executed the first tokenized equity trades on a regulated exchange, settling Solana-tokenized $BLSH 24/7 in stablecoins
- Solana’s RWA ecosystem reached a new all-time high of $3.9B in total value
- Solana set a new single-day record processing 171.9M non-vote transactions
- @sunrise brought tokenized Nebius shares ($NBIS) to Solana, issued by @Backpack Securities

📰 Launches
- @JupiterExchange launched Lend v2, with Smart Vaults turning loans into active DEX liquidity
- $SILV launched via u/sunrise, backed 1:1 by @Dominion_Market’s audited physical silver reserves
- @re’s reUSD went live on Solana
- @ThunesPayments enabled 24/7 EURC prefunding on Solana, bridging digital assets with 90+ fiat currencies
- u/@project0 and @_gammafi launched ML Vaults to capture cross-market spreads and optimize yields in real time
- @Collector_Crypt and @watchdotfun launched vault-backed luxury watch RWAs with gacha and arena redemptions
- @Pumpfun launched daily, volume-based Callout Rewards for callers in its app
- @MonkeDAO launched JungleFun with @magicblock, offering verifiable onchain pack openings
- @birdeye_so introduced Wallet Tracker for monitoring traders, holdings, and watchlists in one dashboard
- @Artifacte_inc launched Rip Room, enabling live-streamed pack openings with direct-to-wallet onchain minting
- @fomo launched Dev Tags, letting teams claim tags to update holders and build communities in-app
- @SuperteamCAN announced Solana Summit Canada for September 23–24
- @JurassicFi announced its tokenized dinosaur fossils launch on August 17
- @tokens open-sourced its platform
- @BitRobotNetwork opened applications for Access IDs to its Open Robotics Lab
- @solana_devs unveiled a seven-week Solana School fall program, running August 31-October 16
- @solanaspaces and @spenders_club announced Solana Summer House on Aug 29
- @SuperteamUK launched their 24/7 office in Somerset House

📰 Milestones

- @Collector_Crypt officially crossed $1B in cumulative gross revenue
- @crediblefin crossed $1B in total payments volume
- @kamino’s Institutional Commodity Yield Vault crossed $25M in deposits
- @LaunchOnSF has crossed over $86,000,000 of volume in 10 days, with 19k+ unique holders
- @metaplex set a July record with 900K+ Core assets created, pushing the total past 8M
- @HusherExchange surpassed $200M in cumulative private Solana swaps

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