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Radiogram

Product snapshot

Radiogram

Radio and podcasts for iPhone, iPad, and Mac with 40,000+ live streams.

● AI-extracted profile · Editorial review pending. Check the linked sources before relying on these details.

Platforms
iOS, iOS, iOS, iOS, iOS, iOS ↗
Pricing
freemium ↗
Stage
launched ↗
Country
Poland ↗
Visit website ↗Company page retrieved during researchChecked 7 Nov 2026 · Sydney time

Radiogram is a freemium radio and podcasts app for iPhone, iPad, Mac and Apple Vision that aggregates 40,000+ live streams, offers song recognition, favorites, listening history and native Apple playback controls. Source ↗

What it does

  • Song recognition powered by Shazam ↗
  • Background playback and Apple Watch integration ↗
  • Favorites, listening history, and native Lock Screen playback ↗

Founders

No founder identity verified from the sources reviewed.

Funding timeline

No verified public funding round found. This does not mean the company is unfunded.

In the news

No attributable press or commentary found in the sources reviewed.

Beyond the launch

What happened next

Unknown

No sufficiently corroborated dated operating-status evidence passed source checks.

Last checked 7 Nov 2026 · Sydney time

AI-assisted research · Editorial review pending.

Alive requires a dated operating signal within 12 months. Unknown is not a shutdown verdict. Archive launch denotes our original publication, not a claim about the company’s founding date.

  1. launch

    Featured on Startup88 — original publication

    Source ↗
Explore where they are now →

Podcasts

Founder appearances, with public episode sources. An appearance may cover another company or a broader topic; it is not an endorsement.

No sufficiently attributable podcast appearance found in the sources reviewed. This is not proof that no appearances exist.

radiopodcastsmusic-recognitionapple-platform
Classification confidence: 90% · AI estimate, not a guarantee
Share this storyX ↗LinkedIn ↗
From the archive · This story retains its original publication date. Company information may have changed.

Company profile:

Startup name: Radiogram

Tagline: Radio and podcasts for iPhone, iPad, and Mac with 40,000+ live streams.

Elevator Pitch: Radiogram is a freemium radio and podcasts app for iPhone, iPad, and Mac with 40,000+ live radio streams and podcast discovery. It adds song recognition, favorites, listening history, native Lock Screen and Control Center playback, and Home Screen widgets in one clean Apple-platform experience.

Target Market: Global iPhone, iPad, and Mac users who listen to live radio and podcasts and want one native app for discovery and playback.

How will you make money?: Freemium: the core app is free, with optional paid premium upgrades for users who want higher limits and additional benefits.

How much capital have you raised?: None

Website: https://radiogram-site.duckdns.org/

City/Country: Kraków, Poland

AI-assisted summary:

Radiogram is a consumer audio app for iPhone, iPad, Mac, and Apple Vision that combines worldwide internet-radio streams, podcasts, and music-recognition tools in one player. The public product listing identifies Pavlo Hryshyn as the developer and describes the app as free with optional in-app purchases. (Source: https://apps.apple.com/us/app/radiogram-radio-podcasts/id6772640690)

Problem and target users

Radiogram appears designed for listeners who want to explore radio beyond a single local market, including music, news, podcasts, ambient audio, audiobooks, comedy, and specialist stations. Its App Store listing says the catalog includes more than 40,000 stations spanning more than 40 languages and thousands of genres, making the central user proposition breadth of discovery rather than ownership of audio content. (Source: https://apps.apple.com/us/app/radiogram-radio-podcasts/id6772640690)

The relevant friction is navigation: a large, international supply of live streams can be difficult to search, filter, and return to across listening sessions. Radiogram addresses that with combined search across station, genre, country, and keywords; tag and geographic filters; favorites; recently played sorting; nearby-station discovery; and country and category views. (Source: https://apps.apple.com/us/app/radiogram-radio-podcasts/id6772640690)

Product and solution

The product is an internet-radio player rather than a conventional broadcast-radio receiver: its listing positions it around access to global streams and specifies radio, podcasts, news, and niche audio categories in a single app. (Source: https://apps.apple.com/us/app/radiogram-radio-podcasts/id6772640690)

Business model, pricing signals, and traction

Radiogram uses a freemium-style model: the App Store listing states that most core features are available free, while offering optional monthly, annual, and lifetime “Support” purchases. In the U.S. storefront, those purchases are listed at $1.99 per month, $12.99 per year, and $24.99 for lifetime support. (Source: https://apps.apple.com/us/app/radiogram-radio-podcasts/id6772640690)

The available public listing signals an early product stage: version 1.0 was released on July 22, 2026, and subsequent updates have added localization, improved track recognition, and addressed playback and metadata issues. Apple also states that the app does not yet have enough ratings or reviews to display an overview. (Source: https://apps.apple.com/us/app/radiogram-radio-podcasts/id6772640690)

Expert take

Radiogram’s clearest strength is a focused product thesis: pair a very broad radio catalog with native Apple-platform listening controls and music discovery. The main strategic uncertainty is defensibility—radio aggregation and search are crowded categories, so retention will likely depend on discovery quality, reliability, and a clear reason for users to support the product financially. Publicly verifiable information on company structure, funding, customer scale, and broader commercial traction is limited, so the app itself is currently the most concrete evidence of execution.

Note: Information based on publicly available sources at the time of writing, and summarized by AI.

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