Q: I set my fraud-score block at the recommended level and now I'm killing good traffic. What's the mistake?
A: Treating a fraud score as a hard yes/no instead of a probability. A score of, say, 75 doesn't mean 'fraud' — it means 'riskier than average for this provider's model'. Block everything above an arbitrary line and you cut honest users who happen to share risk signals.
Where people overcut:
— You block the whole high range instead of routing it. Mobile, prepaid-card, and traveling users often score high without being fraudulent.
— You use the provider's default threshold without calibrating it against YOUR own conversion data.
— You block on a single score instead of combining it with behavior (did they actually convert and stick?).
Fix: pull a month of traffic, sort by fraud score, and look at real downstream value per score band. You'll usually find the line where value drops off — and it's rarely the default. Route the gray middle to extra verification instead of an outright block.
Short version: a fraud score is a dial, not a switch. Calibrate the threshold against your own outcomes.
Still stuck? Drop your case in the comments.
A: Treating a fraud score as a hard yes/no instead of a probability. A score of, say, 75 doesn't mean 'fraud' — it means 'riskier than average for this provider's model'. Block everything above an arbitrary line and you cut honest users who happen to share risk signals.
Where people overcut:
— You block the whole high range instead of routing it. Mobile, prepaid-card, and traveling users often score high without being fraudulent.
— You use the provider's default threshold without calibrating it against YOUR own conversion data.
— You block on a single score instead of combining it with behavior (did they actually convert and stick?).
Fix: pull a month of traffic, sort by fraud score, and look at real downstream value per score band. You'll usually find the line where value drops off — and it's rarely the default. Route the gray middle to extra verification instead of an outright block.
Short version: a fraud score is a dial, not a switch. Calibrate the threshold against your own outcomes.
Still stuck? Drop your case in the comments.
Q: A huge chunk of my call-center leads come back as 'no answer' and get rejected. Is that fraud on my end?
A: Usually not fraud — usually a timing and data-quality mistake. 'No answer' (the lead never picked up for verification) eats your approval rate, and most of it is fixable upstream.
The common causes:
— Your phone field accepts garbage — wrong length, missing country code, obvious filler like 1234567890. Validate format at the form.
— You're sending leads in a timezone where the call center rings them at 3 a.m. local. Match send time to the lead's local daylight hours.
— Long delay between sign-up and the verification call, so user intent has gone cold by the time the phone rings.
— You promised something on the landing page the call agent can't deliver, so users dodge the call.
Fix: validate phone format and country code at capture, pass the lead's timezone, and shorten the gap between opt-in and call. Cold leads don't answer.
Short version: 'no answer' is mostly bad numbers, bad timing, and cold leads. Validate, localize, and call fast.
Still stuck? Drop your case in the comments.
A: Usually not fraud — usually a timing and data-quality mistake. 'No answer' (the lead never picked up for verification) eats your approval rate, and most of it is fixable upstream.
The common causes:
— Your phone field accepts garbage — wrong length, missing country code, obvious filler like 1234567890. Validate format at the form.
— You're sending leads in a timezone where the call center rings them at 3 a.m. local. Match send time to the lead's local daylight hours.
— Long delay between sign-up and the verification call, so user intent has gone cold by the time the phone rings.
— You promised something on the landing page the call agent can't deliver, so users dodge the call.
Fix: validate phone format and country code at capture, pass the lead's timezone, and shorten the gap between opt-in and call. Cold leads don't answer.
Short version: 'no answer' is mostly bad numbers, bad timing, and cold leads. Validate, localize, and call fast.
Still stuck? Drop your case in the comments.
Q: We keep every lead's full data forever 'just in case'. Our DPO is panicking. Why?
A: Because GDPR has a storage-limitation principle: you may keep personal data only as long as you need it for the stated purpose. 'Forever, just in case' is the exact thing it forbids, and it turns every old record into liability.
The mistakes hiding here:
— No retention schedule, so rejected and expired leads pile up with names, emails, and IPs indefinitely.
— You keep raw IP and device data long after the fraud-check window that justified collecting it.
— You can't honor a deletion request because the same record is copied across five tools with no map.
Fix: set a retention period per data type tied to its purpose (a fraud-check IP might live 90 days; an active customer record longer). Auto-delete or anonymize past that. Keep a data map so a deletion request actually reaches every copy.
Short version: keeping everything forever violates storage limitation. Set per-purpose retention and delete on schedule.
Still stuck? Drop your case in the comments.
A: Because GDPR has a storage-limitation principle: you may keep personal data only as long as you need it for the stated purpose. 'Forever, just in case' is the exact thing it forbids, and it turns every old record into liability.
The mistakes hiding here:
— No retention schedule, so rejected and expired leads pile up with names, emails, and IPs indefinitely.
— You keep raw IP and device data long after the fraud-check window that justified collecting it.
— You can't honor a deletion request because the same record is copied across five tools with no map.
Fix: set a retention period per data type tied to its purpose (a fraud-check IP might live 90 days; an active customer record longer). Auto-delete or anonymize past that. Keep a data map so a deletion request actually reaches every copy.
Short version: keeping everything forever violates storage limitation. Set per-purpose retention and delete on schedule.
Still stuck? Drop your case in the comments.
Forwarded from Natalia
ВПЕРВЫЕ! ТОЛЬКО ОДИН ВЕЧЕР!
🫥 ПИАР-ВОЙС В ЭТОМ ЧАТЕ🫥
Участников никто не знает.
Откуда они? Хуй его знает.
Темы — просто пиздец!
• Аналитика на двух лидах
• Слив анлим бюджетов
• Как просрать медийку
• Где найти нормальную работу
• Как закупиться себе в карман
⚡ Все это для тех, кто придет на ВОЙС
На котором обсудим:
Модераторы: @adv_god @natnetak
NO RESPECT CHAT • 27.08 • 19:00 GMT+3
Участников никто не знает.
Откуда они? Хуй его знает.
Темы — просто пиздец!
• Аналитика на двух лидах
• Слив анлим бюджетов
• Как просрать медийку
• Где найти нормальную работу
• Как закупиться себе в карман
Как делать PR, маркетинг и деньги в арбитраже трафика
На котором обсудим:
• На что компании еще готовы тратить деньги
• За чье внимание мы вообще конкурируем
• Что действительно работает, а что сливает бабки
• PR vs маркетинг
• Как измерить результаты кампейнов
• Что делать с запросом «хочу, чтобы про нас все знали»
Модераторы: @adv_god @natnetak
NO RESPECT CHAT • 27.08 • 19:00 GMT+3
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Forwarded from AffPapa! Клуб спящих бизнесменов! Потрачено!
Иногда мне кажется, что я работаю не в iGaming, а в похоронном бюро.
Каждый день кто-то приносит очередной продукт и говорит: «У нас почему-то падает LTV.»
Потом открываешь аналитику и понимаешь, что игроки предупреждали об этом ещё месяц назад.
Просто никто не слушал.
Я — Head of Retention. И в своём канале разбираю ошибки, из-за которых команды месяцами теряют LTV, даже не замечая этого.
Каждый день кто-то приносит очередной продукт и говорит: «У нас почему-то падает LTV.»
Потом открываешь аналитику и понимаешь, что игроки предупреждали об этом ещё месяц назад.
Просто никто не слушал.
Я — Head of Retention. И в своём канале разбираю ошибки, из-за которых команды месяцами теряют LTV, даже не замечая этого.
Q: My exclusive offer link is showing traffic from sources I never bought. Where's it leaking?
A: This is a link-hygiene failure, and it can get you flagged for traffic you didn't generate. Once a tracking link is public, anyone can fire clicks through it — including bots and competitors trying to poison your stats.
How links leak:
— You posted the raw tracking URL in a public chat, forum, or pastebin while testing.
— Your link has no sub-source or signature, so anything that hits it gets attributed to you.
— A referrer header exposes your link on a page you don't control, and a scraper picks it up.
— You reuse one link across channels, so you can't tell clean from dirty.
Fix: never expose raw links publicly; use a redirect domain you control. Add a unique sub-source per channel so you can isolate and cut the dirty one. If a provider supports it, add a signed parameter so unsigned clicks are dropped.
Short version: public links get poisoned. Use signed, per-channel links behind your own redirect.
Still stuck? Drop your case in the comments.
A: This is a link-hygiene failure, and it can get you flagged for traffic you didn't generate. Once a tracking link is public, anyone can fire clicks through it — including bots and competitors trying to poison your stats.
How links leak:
— You posted the raw tracking URL in a public chat, forum, or pastebin while testing.
— Your link has no sub-source or signature, so anything that hits it gets attributed to you.
— A referrer header exposes your link on a page you don't control, and a scraper picks it up.
— You reuse one link across channels, so you can't tell clean from dirty.
Fix: never expose raw links publicly; use a redirect domain you control. Add a unique sub-source per channel so you can isolate and cut the dirty one. If a provider supports it, add a signed parameter so unsigned clicks are dropped.
Short version: public links get poisoned. Use signed, per-channel links behind your own redirect.
Still stuck? Drop your case in the comments.
Q: I appealed a rejected batch and got declined again. How do I appeal so it actually works?
A: Most appeals fail because they argue feelings instead of evidence. The reviewer needs to reverse a specific decision with specific data, not read a paragraph about how hard you worked.
Weak-appeal mistakes:
— 'My traffic is good, please re-check' — no IDs, no metrics, nothing to act on.
— Appealing the whole batch when only some leads are disputable, so the reviewer rejects the lot for the weakest ones.
— No reconciliation: you didn't separate the legit rejections (duplicates, geo) from the wrongful ones.
Fix: appeal only the leads you can defend, by click ID. For each, give the timestamp, the geo, the action completed, and any verification proof. Concede the genuinely bad ones up front — it builds credibility for the rest. Quantify the ask: 'these 12 IDs, here's the evidence per ID'.
Short version: appeals win on specific IDs and evidence, not sincerity. Concede the bad, defend the rest by ID.
Still stuck? Drop your case in the comments.
A: Most appeals fail because they argue feelings instead of evidence. The reviewer needs to reverse a specific decision with specific data, not read a paragraph about how hard you worked.
Weak-appeal mistakes:
— 'My traffic is good, please re-check' — no IDs, no metrics, nothing to act on.
— Appealing the whole batch when only some leads are disputable, so the reviewer rejects the lot for the weakest ones.
— No reconciliation: you didn't separate the legit rejections (duplicates, geo) from the wrongful ones.
Fix: appeal only the leads you can defend, by click ID. For each, give the timestamp, the geo, the action completed, and any verification proof. Concede the genuinely bad ones up front — it builds credibility for the rest. Quantify the ask: 'these 12 IDs, here's the evidence per ID'.
Short version: appeals win on specific IDs and evidence, not sincerity. Concede the bad, defend the rest by ID.
Still stuck? Drop your case in the comments.
Three (or four) more for the affiliate marketing & traffic crowd:
— @deal_wire — Insider intel for coupon and deal-site operators: merchant feed…
— @VerdictBench — Hands-on comparisons of the tools review-site builders rely on —…
— @NicheDiaries — Real stories of niche sites from zero to revenue — the keyword that…
— @InboxLoot — The best of email-affiliate marketing, curated. Top swipe ideas,…
Different voices, same beat. Pick your favorites.
— @deal_wire — Insider intel for coupon and deal-site operators: merchant feed…
— @VerdictBench — Hands-on comparisons of the tools review-site builders rely on —…
— @NicheDiaries — Real stories of niche sites from zero to revenue — the keyword that…
— @InboxLoot — The best of email-affiliate marketing, curated. Top swipe ideas,…
Different voices, same beat. Pick your favorites.
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В роликах Youtube теперь можно рекламировать товары Amazone
➡️ Читайте на сайте: https://aff.top/blog/v-rolikakh-youtube-teper-mozhno-reklamirovat-tovary-amazone
🧠 Ещё больше инсайтов → в канале AFF.top
➡️ Читайте на сайте: https://aff.top/blog/v-rolikakh-youtube-teper-mozhno-reklamirovat-tovary-amazone
🧠 Ещё больше инсайтов → в канале AFF.top
Forwarded from AFF.TOP - про арбитраж трафика и CPA рынок!
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Google выпустил Gemini Omni 1.1 Flash
Google обновил Gemini Omni для генерации видео: модель умеет продолжать сцены с учётом до 10 секунд контекста и собирать ролик до 40 секунд, работать по референсу и делать переходы между кадрами. Главный вывод — инструмент стал практичнее для продакшена, а посекундная цена делает его заметно доступнее для тестов и рабочих задач.
➡️ Читайте на сайте: https://aff.top/blog/google-vypustil-gemini-omni-1-1-flash
🧠 Ещё больше инсайтов → в канале AFF.top
Google обновил Gemini Omni для генерации видео: модель умеет продолжать сцены с учётом до 10 секунд контекста и собирать ролик до 40 секунд, работать по референсу и делать переходы между кадрами. Главный вывод — инструмент стал практичнее для продакшена, а посекундная цена делает его заметно доступнее для тестов и рабочих задач.
➡️ Читайте на сайте: https://aff.top/blog/google-vypustil-gemini-omni-1-1-flash
🧠 Ещё больше инсайтов → в канале AFF.top
Forwarded from AFF.TOP - про арбитраж трафика и CPA рынок!
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Топ 5 PWA-сервисов для залива дейтинга
Статья показывает, что PWA выгодны не только для гемблы: в дейтинге они дают пуш-базу, больше траста и помогают маскировать оффер под бренд. Главный выбор зависит от цены инсталлов и теста GEO: для старта лучше бесплатные или дешёвые решения, а Progressier выделяется как самый практичный вариант для залива дейтинга.
➡️ Читайте на сайте: https://aff.top/blog/top-5-pwa-servisov-dlia-zaliva-deitinga
🧠 Ещё больше инсайтов → в канале AFF.top
Статья показывает, что PWA выгодны не только для гемблы: в дейтинге они дают пуш-базу, больше траста и помогают маскировать оффер под бренд. Главный выбор зависит от цены инсталлов и теста GEO: для старта лучше бесплатные или дешёвые решения, а Progressier выделяется как самый практичный вариант для залива дейтинга.
➡️ Читайте на сайте: https://aff.top/blog/top-5-pwa-servisov-dlia-zaliva-deitinga
🧠 Ещё больше инсайтов → в канале AFF.top
Q: My own testing is somehow showing up as fraud in my stats. How do I stop polluting my data?
A: Very common, and embarrassing when the network notices before you do. Your QA clicks, preview opens, and reloads all look like a tiny fraud ring: one IP, one device, repeated actions, no real conversion intent.
The self-pollution patterns:
— You test the funnel from your office IP and phone repeatedly, stacking identical fingerprints.
— Link-preview bots in your team chat fire a click every time someone pastes the URL.
— Uptime monitors and screenshot tools hit the landing page on a schedule, generating phantom clicks.
— Your own redirect's health check pings the offer URL.
Fix: route all testing through a tagged parameter (like a test sub-source) that never reaches the postback. Exclude your office and known monitoring IPs at the redirect. Turn off link previews for the channel where you share URLs, or share a non-firing dummy link.
Short version: your QA, bots, and monitors are polluting stats. Tag test traffic and exclude known internal IPs.
Still stuck? Drop your case in the comments.
A: Very common, and embarrassing when the network notices before you do. Your QA clicks, preview opens, and reloads all look like a tiny fraud ring: one IP, one device, repeated actions, no real conversion intent.
The self-pollution patterns:
— You test the funnel from your office IP and phone repeatedly, stacking identical fingerprints.
— Link-preview bots in your team chat fire a click every time someone pastes the URL.
— Uptime monitors and screenshot tools hit the landing page on a schedule, generating phantom clicks.
— Your own redirect's health check pings the offer URL.
Fix: route all testing through a tagged parameter (like a test sub-source) that never reaches the postback. Exclude your office and known monitoring IPs at the redirect. Turn off link previews for the channel where you share URLs, or share a non-firing dummy link.
Short version: your QA, bots, and monitors are polluting stats. Tag test traffic and exclude known internal IPs.
Still stuck? Drop your case in the comments.
🔥 Новый участник НеТОПа на AffPapa!
https://affpapa.org/netop
🏆 НеТОП на AffPapa — https://affpapa.org/netop/go/27?src=broadcast
Платный рейтинг индустрии: плати больше — стоишь выше. Займи место в топе за USDT.
💰 Ставка: $100 · сейчас #1 в рейтинге
https://affpapa.org/netop
🏆 НеТОП на AffPapa — https://affpapa.org/netop/go/27?src=broadcast
Платный рейтинг индустрии: плати больше — стоишь выше. Займи место в топе за USDT.
💰 Ставка: $100 · сейчас #1 в рейтинге
affpapa.org
НеТОП — рейтинг индустрии за USDT | affpapa.org
Плати больше — стоишь выше. Аукцион мест в рейтинге affiliate-индустрии: минимум $10, потолка нет. Оплата USDT (TRC20), место ставится автоматически.
🔥 justbrand_create — новый участник рейтинга НеТОП на AffPapa!
🏆 Своё место в топе честно купил justbrand_create: https://affpapa.org/netop/go/28?src=broadcast
💰 Ставка: $111 · сейчас #1 в рейтинге
Весь рейтинг → https://affpapa.org/netop
🏆 Своё место в топе честно купил justbrand_create: https://affpapa.org/netop/go/28?src=broadcast
💰 Ставка: $111 · сейчас #1 в рейтинге
Весь рейтинг → https://affpapa.org/netop
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JUST brand agency
Креативное multi-channel маркетинговое агентство. Здесь делимся идеями, проектами и новостями индустрии 🎨
Первичный консалтинг по вашей задаче for free — @sofia_aster, CBDO
Head & Founder: @stase_just
https://www.intagram.com/just.brand
Первичный консалтинг по вашей задаче for free — @sofia_aster, CBDO
Head & Founder: @stase_just
https://www.intagram.com/just.brand
Q: I passed KYC but now they want 'source of funds' and my payout is stuck. Isn't ID enough?
A: KYC and AML are two different gates, and assuming ID covers both is the mistake. KYC proves who you are; AML (Anti-Money-Laundering checks) asks where the money came from and whether the pattern looks clean. Big or sudden volume triggers the second gate even when the first one passed.
What sets it off:
— Earnings jumped sharply versus your history, so the system asks you to explain the spike.
— Payout method doesn't match your profile — a personal account receiving business-scale sums.
— Mismatched countries between your ID, your traffic, and your bank.
Fix: have a paper trail ready BEFORE you scale — invoices, your advertiser contracts, traffic reports that explain the revenue. When asked, answer fast with documents that tie earnings to a legitimate, named source. Vague or slow answers extend the hold.
Short version: KYC is identity; AML is the money's origin. Keep contracts and reports ready to explain volume.
Still stuck? Drop your case in the comments.
A: KYC and AML are two different gates, and assuming ID covers both is the mistake. KYC proves who you are; AML (Anti-Money-Laundering checks) asks where the money came from and whether the pattern looks clean. Big or sudden volume triggers the second gate even when the first one passed.
What sets it off:
— Earnings jumped sharply versus your history, so the system asks you to explain the spike.
— Payout method doesn't match your profile — a personal account receiving business-scale sums.
— Mismatched countries between your ID, your traffic, and your bank.
Fix: have a paper trail ready BEFORE you scale — invoices, your advertiser contracts, traffic reports that explain the revenue. When asked, answer fast with documents that tie earnings to a legitimate, named source. Vague or slow answers extend the hold.
Short version: KYC is identity; AML is the money's origin. Keep contracts and reports ready to explain volume.
Still stuck? Drop your case in the comments.
Q: My daily stats never match the network's, so I can't tell if I'm being shorted. What's off?
A: Before you suspect anything, check the clock. The most common reconciliation mistake is two dashboards using different timezones and different attribution windows, so the same conversion lands on different days for each of you.
The quiet mismatches:
— Your tracker reports in your local time; the network reports in UTC or its own. A conversion at 11 p.m. your time is 'tomorrow' for them.
— You count by click date, they count by conversion date. A click on Monday that converts Wednesday splits across reports.
— Your attribution window is 30 days, theirs is 7, so late conversions appear for you and not for them.
Fix: pin both reports to the SAME timezone (UTC is the safe default) and the SAME date basis (conversion date, not click date) before comparing. Confirm the attribution window matches. Only then is a remaining gap worth investigating.
Short version: most 'shorted' stats are timezone and window mismatches. Normalize the clock and the date basis first.
Still stuck? Drop your case in the comments.
A: Before you suspect anything, check the clock. The most common reconciliation mistake is two dashboards using different timezones and different attribution windows, so the same conversion lands on different days for each of you.
The quiet mismatches:
— Your tracker reports in your local time; the network reports in UTC or its own. A conversion at 11 p.m. your time is 'tomorrow' for them.
— You count by click date, they count by conversion date. A click on Monday that converts Wednesday splits across reports.
— Your attribution window is 30 days, theirs is 7, so late conversions appear for you and not for them.
Fix: pin both reports to the SAME timezone (UTC is the safe default) and the SAME date basis (conversion date, not click date) before comparing. Confirm the attribution window matches. Only then is a remaining gap worth investigating.
Short version: most 'shorted' stats are timezone and window mismatches. Normalize the clock and the date basis first.
Still stuck? Drop your case in the comments.
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Google отменил ручную пессимизацию в Еврозоне
Google перестал пессимизировать крупные новостники за паразитные страницы с казино и другими партнёрскими офферами в ЕЭЗ. Для арбитража вывод простой: в Европе схема с «пирогами» больше не даёт преимущества от траста основного домена, а Google впервые применяет разные правила по GEO под давлением регулятора.
➡️ Читайте на сайте: https://aff.top/blog/google-otmenil-ruchnuiu-pessimizaciiu-v-evrozone
🧠 Ещё больше инсайтов → в канале AFF.top
Google перестал пессимизировать крупные новостники за паразитные страницы с казино и другими партнёрскими офферами в ЕЭЗ. Для арбитража вывод простой: в Европе схема с «пирогами» больше не даёт преимущества от траста основного домена, а Google впервые применяет разные правила по GEO под давлением регулятора.
➡️ Читайте на сайте: https://aff.top/blog/google-otmenil-ruchnuiu-pessimizaciiu-v-evrozone
🧠 Ещё больше инсайтов → в канале AFF.top
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Вышел OpenClaw 2.0
OpenClaw вышел на новый уровень: совместная работа, нормальный веб-интерфейс и более простая настройка. Разбираем, зачем это обновление важно и как оно меняет работу с ИИ-агентом.
➡️ Читайте на сайте: https://aff.top/blog/vyshel-openclaw-2-0
🧠 Ещё больше инсайтов → в канале AFF.top
OpenClaw вышел на новый уровень: совместная работа, нормальный веб-интерфейс и более простая настройка. Разбираем, зачем это обновление важно и как оно меняет работу с ИИ-агентом.
➡️ Читайте на сайте: https://aff.top/blog/vyshel-openclaw-2-0
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Q: Should I trust device fingerprinting or IP reputation more for catching fake leads?
A: They catch different problems, so the real answer is layer them, not pick one.
IP reputation (a score for how shady an address looks) is great for the obvious stuff — known datacenter ranges, recycled proxy pools, residential addresses that suddenly route 400 conversions an hour. It's cheap and fast, but it goes blind the moment someone buys fresh residential proxies.
Device fingerprinting (a hash of browser, fonts, canvas, timezone, screen) catches the thing IP can't: one 'device' wearing 200 different IPs. That's your classic farm signature.
When to lean which way:
— High-volume, low-payout traffic: IP first, it's cheaper per check.
— High-payout verticals (finance, insurance): fingerprint first, the farms invest more.
— Mobile app installs: fingerprinting gets weak (privacy sandboxing), so weight IP and install-timing higher.
Short version: IP reputation flags bad addresses, fingerprinting flags repeated identities. You want both, and you want to alert when they disagree — that gap is where smart fraud hides.
Still stuck? Drop your case in the comments.
A: They catch different problems, so the real answer is layer them, not pick one.
IP reputation (a score for how shady an address looks) is great for the obvious stuff — known datacenter ranges, recycled proxy pools, residential addresses that suddenly route 400 conversions an hour. It's cheap and fast, but it goes blind the moment someone buys fresh residential proxies.
Device fingerprinting (a hash of browser, fonts, canvas, timezone, screen) catches the thing IP can't: one 'device' wearing 200 different IPs. That's your classic farm signature.
When to lean which way:
— High-volume, low-payout traffic: IP first, it's cheaper per check.
— High-payout verticals (finance, insurance): fingerprint first, the farms invest more.
— Mobile app installs: fingerprinting gets weak (privacy sandboxing), so weight IP and install-timing higher.
Short version: IP reputation flags bad addresses, fingerprinting flags repeated identities. You want both, and you want to alert when they disagree — that gap is where smart fraud hides.
Still stuck? Drop your case in the comments.
Forwarded from AFF.TOP - про арбитраж трафика и CPA рынок!
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Павел Дуров анонсировал Gram Wallet
Дуров анонсировал Gram Wallet — нативный некастодиальный криптокошелёк внутри Telegram. Он обещает мгновенные переводы с нулевой комиссией между пользователями и более простые обновления за счёт архитектуры с валидаторами. Запуск уже идёт, а полный релиз ждут в ближайшие недели.
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Дуров анонсировал Gram Wallet — нативный некастодиальный криптокошелёк внутри Telegram. Он обещает мгновенные переводы с нулевой комиссией между пользователями и более простые обновления за счёт архитектуры с валидаторами. Запуск уже идёт, а полный релиз ждут в ближайшие недели.
➡️ Читайте на сайте: https://aff.top/blog/pavel-durov-anonsiroval-gram-wallet
🧠 Ещё больше инсайтов → в канале AFF.top
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Новые ограничение в Instagram для ИИ-профилей
Instagram ужесточает условия для УБТ: аккаунты помечают как созданные ИИ, а без такой маркировки можно словить теневой бан. Если нейросеть лишь улучшает контент, санкций нет. Для арбитражников это значит, что привычные схемы в FB и Инсте будут работать хуже, а обход антифрода станет сложнее.
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Instagram ужесточает условия для УБТ: аккаунты помечают как созданные ИИ, а без такой маркировки можно словить теневой бан. Если нейросеть лишь улучшает контент, санкций нет. Для арбитражников это значит, что привычные схемы в FB и Инсте будут работать хуже, а обход антифрода станет сложнее.
➡️ Читайте на сайте: https://aff.top/blog/novye-ogranichenie-v-instagram-dlia-ii-profilei
🧠 Ещё больше инсайтов → в канале AFF.top