nowfound

Growth · May 6, 2026

Qujam

DIY geofence advertising for all

What it does

Qujam democratizes hyper-local targeting by removing the "enterprise gatekeepers." Unlike competitor, which often require high spend minimums and complex contracts/platforms, Qujam is a 100% self-serve, DIY platform with no campaign minimums and designed to be easy. Standout Features: - Hand-draw precise fences around competitor stores or events in seconds. - Serve Display, Video, and audio ads through one dashboard. - Real-time analytics and total budget control for businesses of any size.

Does the same job

all alternatives →
  • Magnetiq2022 · adsby.co · ▲857

    Create beautiful ads with 100+ templates, publish in minutes

  • VetrinaLive2022 · ▲206

    Sell digital & physical goods without transaction fees

  • Clickky's Self-Serve Platform2016 · ▲89

    A self-serve platform to make mobile app promotion easy

  • BondMay 2026 · askbond.ai · ▲337

    Outbound campaigns powered by real buying signals

  • BuySellAds2015 · ▲107

    The easiest self-serve advertising platform on the web

  • Jotform Store Builder2022 · ▲280

    Create an online store with no code

More growth this month

the category →
  • Browzer426

    Put your technical content on autopilot

    Growth · 14d ago · trybrowzer.com

  • ​​A pixel-art solar system at its real current positions.​

    Growth · 29d ago · astrapixels.com

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

    Life & fun · May 2026 · github.com

  • FM

    Dev tools · May 2026 · github.com