The other day I was struggling with LinkedIn, its support, overpriced packages, and terrible UX, and thought: this can t be real. In the age of AI, there s still this massive legacy platform sitting on a pile of data, acting as a gatekeeper to the B2B world, yet outdated as hell.
I'm excited to share TagRadar, a tool I built to help marketers, founders, SEO professionals, and researchers discover how websites and brands are discussed across Reddit.
Hey there! I am one of the founders of Linguix - we build AI writing assistant and now we are diving into developing our API and offering an easy way to integrate it via API. My idea, that has some proof via PoC projects by now, is that when you add grammar checking dialogues to your app, people will spend more time within it = improved retention rates. Also, those dialogues can potentially be used to promote core product features, which should improve APRS/ARPU.
What do you think? Would you be open to testing this kind of product (Grammar Check API/SDK) for free?
We're a small team building Tixio, and for a while we were doing what most teams do- bouncing between Slack for chat, and for everything else we use Tixio (projects, documentation, wireframing).
I m Madhwesh, a software engineer building Ziddi, an AI-native human performance and wellness platform.
Over the past year of building, our biggest technical realization was simple: while generative AI is great at interpreting conversational context, pure LLMs should never prescribe heavy physical training. Hallucinating a workout variable isn t just a bad user experience it can lead to serious joint wear or real injury.
To solve this, we separated intent from execution:
I m working on AdmissionBoss, an education and admission guidance platform focused on making higher-education research easier for students and parents in India.
Genuinely curious how bad this problem is for other people, or if it's just me.
I track roughly how much time I lose every week just copying stuff out of emails into HubSpot names, companies, deal details, next steps. It's not hard, it's just constant, and half the time I forget to log something until it's too late to actually follow up on it.
I ended up building a small AI tool for myself that reads sales emails and call notes and pulls that info out automatically, with the source sentence and a confidence score attached , with overall analytics so I'm not just trusting a black box. Still rough, still learning what actually matters day to day.
But I'm more interested in the general question here: for people who use a CRM daily, is manual data entry actually a real pain point for you, or have you already solved it some other way (Zapier, native integrations, just a good habit of logging right after every call)? Would love to hear how others handle this.
We built Primetool.io to make everyday online tools faster, simpler, and easier to use.
Whether you need a countdown timer, word and character counter, age calculator, GPA calculator, random name picker, or random number generator, the idea is the same: open the tool, use it instantly, and get your result.
We re focusing on practical tools that people actually need in daily life, and we re adding more over time.
Many AI apps sell an illusion: 'Make money without effort' or 'Launch a business in minutes.' People often fail with these because they realize AI isn't a magic 'think-for-me' button you still need to be the architect of your own workflow.
Omen Instant TTS was born from a real bottleneck: the slow pace of reading large volumes of text and code. It doesn't promise magic; it promises real speed:
Select text, release mouse, and audio starts instantly.
Works 100% offline no servers, no subscriptions.
Features a specialized 'Code Mode' for formal symbol reading.
Omen doesn t replace your judgment; it empowers it. It is an extension of your mind, built to help you work faster and with less friction.
