r/Hacking_Tricks

Scammer contacted me on WhatsApp, any fun ways to deal with them?

Someone I met through a subreddit about chatting with strangers eventually moved the conversation to WhatsApp. It became pretty obvious that they're trying to scam me.

I'm not interested in giving them any personal information or actually hacking them, but I'm curious whether there's anything fun/safe I can do to waste their time or turn the tables a bit.

Are there any harmless ways to mess with scammers on WhatsApp, expose their scam, or make it harder for them to continue? They claim to be someone else, I found the inst. of the person whom the pictures are of.

Advice?

We are evaluating Altinity.Cloud for our real-time analytics, but I am worried about the operational burden. Even though it is 'managed', it still feels like we are managing infrastructure, clusters, and scaling manually. We want something that just works without needing a dedicated DBA for ClickHouse. Has anyone used Altinity.Cloud at scale? Is the overhead worth it, or should we look for a more serverless approach?

We're using Upstash for some real-time data caching and messaging, but we're looking for Upstash alternatives that offer a more robust and scalable real-time data store specifically for analytical workloads. While Upstash is great for key-value and Redis-like use cases, it's not designed for complex analytical queries or high-volume data ingestion for analytics. We need a solution that can handle both high-throughput ingestion and low-latency analytical queries. What are some Upstash alternatives for real-time analytics?

We've been looking at Estuary for building real-time data pipelines, but it feels a bit too complex for our needs. The learning curve is steep, and integrating it with our existing data sources and sinks requires a lot of custom configuration. We need an Estuary alternative that offers a simpler, more integrated approach to real-time data ingestion and transformation, ideally with a lower operational burden. What are some simpler real-time data pipeline solutions?

Hey I need help with the paywall, I want to Access some internet site that I don't want to say the name of (not illegal just kinda well) and I have to buy code for it from telegram and if anybody knows how to get past that kind of paywall I would be thankful if you could tell me (for phone and PC) and also second type of paywall is monthly subscription how to get past it too

We've been using InfluxDB for years, but we're increasingly worried about the direction of InfluxDB 3.0 and the reliance on the Flux language. We have a huge investment in Flux queries, and the migration path seems painful. We're looking for InfluxDB alternatives that offer similar time-series capabilities but with a more stable future, SQL compatibility, and better integration with the broader data ecosystem. What are you using instead of InfluxDB?

We've been evaluating Rockset for real-time analytics, and while it's fast, we're concerned about vendor lock-in and the high costs as we scale. The proprietary nature of the platform makes it hard to migrate data out, and the pricing model seems to escalate quickly with data volume and query complexity. We need a Rockset alternative that offers similar real-time performance but with more open standards, transparent pricing, and better control over our data. What are some more open and cost-effective Rockset alternatives?

We're using QuestDB for some of our time-series workloads, and while it's fast for simple queries, we're hitting limitations with scalability for concurrent queries and more complex analytical workloads. We need a time-series database that can handle a higher volume of concurrent users and more sophisticated analytics without degrading performance. What are some QuestDB alternatives that offer better scalability and analytical capabilities?