runesleo

vip
Active for: 8.7y
Peak Tier 6
No content yet
I may have genuinely pushed ChatGPT Pro into territory most people never reach.
I've had a question for the past two weeks:
Exactly how much capacity does ChatGPT's Chat have?
Because my Codex / Work can often burn through the weekly allowance down to 0, while Chat keeps working normally.
I searched online for a while, but the answers were all over the place: some said Pro was unlimited, some said dozens of messages every few hours, some treated figures obtained from plugin statistics as official limits, and others assumed that once Work was used up, you could switch to Codex and keep getting
CODEX-6.73%
OPENAI7.43%
View Original
post-image
post-image
  • Reward
  • Comment
  • Repost
  • Share
I seriously calculated the August bill for my “AI × Crypto one-person company” for the first time.
Right now, it’s basically just me + AI handling:
research, development, product, content, operations, business development, and automated execution.
So I’m also quite curious:
Is this whole AI setup actually helping me make money, or is it simply burning through subscription fees every month?
August operating revenue: $1,791.70
Mainly from:
- Prediction market products / paid content I created: $697
- Business partnerships / content bounties: $850
- Affiliate / Referral: $120
- X Creator Earnings
View Original
post-image
  • Reward
  • Comment
  • Repost
  • Share
A sudden surge in website traffic is not necessarily good news.
During a weekly audit, I found:
The traffic dashboard looked great, but Headless browser and traffic from anomalous regions had increased significantly, while clicks in Google Search Console had not increased in sync.
This means:
UV ≠ real people
Real people ≠ valid readers
Increased traffic ≠ website growth
Now I only perform 4 layers of reconciliation:
1. Browser UA: What percentage is Headless?
2. Geography: Is it unusually concentrated?
3. Referrer / UTM: Where is the traffic coming from?
4. GSC: Are search impressions and cli
View Original
  • Reward
  • Comment
  • Repost
  • Share
Among the day's new TOP100 entries, 95 Skills still have zero usage.
I looked at the 39,022 Skills REDSkill scraped this time alongside four TOP100 rankings: number of users, author publications, 7-day additions, and daily additions.
These three figures first debunk the idea that “making the rankings = having a viable product”:
• In the usage TOP100, the median reuse rate is only 1.34 times per user
• The top two authors accounted for 84.98% of the number of publications in the publication TOP100
• Of the 100 Skills in the daily additions ranking, 95 still have zero usage
Making the rankings,
View Original
post-image
post-image
  • Reward
  • Comment
  • Repost
  • Share
AlphaCall Case #001: $HBTC
Over the past two days, I had AI run through the complete lifecycle of an early on-chain opportunity with real money:
Discovery → participation → farming → monitoring → selling in batches → principal recovery → automatic shutdown.
Let's start with the numbers.
I first entered $HBTC at an MC of approximately $100k.
Known principal:
0.0368946 ETH
I actually bought approximately 1,966 HBTC, then farmed another approximately 320 HBTC, with peak holdings reaching 2,286.122 HBTC.
When I first shared it with the community as an AlphaCall yesterday, the project had actually
ETH0.95%
View Original
  • Reward
  • Comment
  • Repost
  • Share
Recently, I’ve been researching @ethos_network’s $WHUF Sale.
There’s a design in it that I rarely see in Crypto Token Sales:
85% purchase-price protection.
At first glance, it’s easy to interpret this as:
“So does that mean the maximum loss is 15%?”
But after breaking down the official rules in full, I found that this isn’t the right way to understand it.
First, the project itself.
Ethos is an onchain reputation / credibility network: through mechanisms such as Reviews, Vouches, and Markets, it turns a person’s reputation across onchain and social networks into a credibility graph that can be
USDC0.00%
View Original
post-image
  • Reward
  • 1
  • Repost
  • Share
GateUser-15eaa5f4:
Hah, I woke uppppp, I’ll still be here and get banned.
I no longer really want to manage a pile of AI conversations myself.
I’d rather manage just one “boss.”
I give it a goal, and it decides what needs to be done, assigns adjacent tasks to different business conversations to move forward, and once the results and acknowledgments come back, it decides the next step.
My previous way of working looked more like this:
Me → Chat A
Me → Chat B
Me → Chat C
Me → Chat D
Every time I opened another AI, I had one more window to manage myself.
Now I’m trying a different approach:
Me → master control conversation

Select current task
↓ ↓ ↓
Bu
View Original
post-image
  • Reward
  • Comment
  • Repost
  • Share
In a bull market, I increasingly feel that one of the most valuable things research can do is not help you find more things to buy.
It helps you have evidence-based reasons not to chase.
I recently broke down a Polymarket address.
On the surface, it was indeed making money.
But after breaking down the books:
Gross trading profit: +$46,224
Fees: −$46,143
Only +$81 remained at the trading layer.
What really drove up the net result was an additional +$22,273 in taker rebates.
In other words, if you only see that it is “making money” and copy its trading approach, you will almost certainly miss th
View Original
post-image
  • Reward
  • Comment
  • Repost
  • Share
The bull market is here, and one of the first preparations I’ve made recently is:
Setting aside a sum of money and a wallet specifically for AI.
In the last bull market, I prepared exchanges, wallets, funds, and various information sources.
This time around, even AI needs an “execution account” prepared in advance.
Because AI can now help me find opportunities, conduct research, monitor data, and decide whether to participate.
But if the final process is still:
AI discovers an opportunity → tells me → I open my computer → find the wallet → move funds → execute
then it will always just be a res
SOL1.78%
View Original
post-image
  • Reward
  • Comment
  • Repost
  • Share
The more Agents there are, the worse the system may even become.
Not because the Agents cannot work.
But because they work too fast.
Recently, every time I tested @bot Grok Bot, over the past 48 hours, 7 independent conversations in my GrokBot produced 30 results in total.
20 yesterday and 10 today. 🤣
But the problem is that none of them entered the main consumption pipeline.
In other words, I automated “production” but did not automate “consumption.”
This made me redefine what completion means for an Agent:
Output ≠ Done
Only Output → Routed → Consumed → Promoted → Impact counts as truly com
View Original
  • Reward
  • Comment
  • Repost
  • Share
I do feel like buying the new Mac Studio.
But after thinking it over, I’ll hold off for now.
I’m setting a KPI for my current AI system:
First, help me earn another 100k, then use the money I earn to upgrade its hardware.
That feels more reasonable.
View Original
post-image
  • Reward
  • 1
  • Repost
  • Share
StartingOverAtTheSummit:
What do you think of the above data technology expert? It’s you, you, you—only you can say it, so go ahead.
After using AI for so long, I’m no longer just annoyed that software is difficult to use—I even find clicking buttons too much of a hassle.
Whenever I see a new product, my first reaction is always, “I really can’t be bothered to figure this out. Can’t you just skip the registration, tutorials, and menus and let AI use it for me?”
I’m genuinely curious—I can’t be the only one who feels this way, right?🤦
View Original
  • Reward
  • Comment
  • Repost
  • Share
Using Codex App, I’ve connected the mechanical workflow for an X post:
Format the article → upload images → schedule it → retrieve the data after publishing.
What it really eliminates isn’t any single plugin, but the repeated copying, checking, and window switching between four tools.
But “the button was clicked successfully” doesn’t mean publishing is complete. I now always perform three checks:
1. The scheduling list shows the exact time
2. The body text and images match when retrieved
3. After publishing, obtain the unique URL, then move on to data review
The value of automati
View Original
  • Reward
  • Comment
  • Repost
  • Share
Communication between different AI sessions has already started to resemble a master control Agent dispatching a group of executors.
What I actually use is not the slogan of an “AI team,” but these functions:
• Hand a task over to another session
• Create, close, and archive sessions
• Queue multiple tasks instead of having them compete for context
• Have another session continue after one is interrupted
I used to manually copy progress and repeatedly explain the background; now the master control only needs to monitor status and verify completion.
Moving from “a single chat window” to “a sche
View Original
post-image
  • Reward
  • Comment
  • Repost
  • Share
I recalculated every trade for the complete two-day window of the three addresses whose 30-day curves were all positive. After deducting taker fees: −1,634 / −627 / −976. What you can see is behavior; what makes money is structure.
View Original
  • Reward
  • Comment
  • Repost
  • Share
  • Pinned