Press Release
Glory Star expected to further increase profitability
Glory Star New Media Group, a Nasdaq-listed digital media platform and content-driven e-commerce company in China, is expected to be able to further increase its profitability with its growing market share and economy of scale.
The company reported a 15.8% growth in its Non-GAAP net income to US$16.9 million for the six-months ended June 30 from US$14.6 million in the same period of last year.
During the first half of this year, the company’s total revenues grew 144.6% to US$71.9 million from US$29.4 million, thanks to the increase in advertising revenues and Cheers e-Mall marketplace service revenue, primarily attributable to the development and promotion of its mobile and online businesses.
Income from operations surged 40.9% to US$16.2 million from US$11.5 million.
During the first half year of 2021, the company successfully grew its top and bottom lines as it allocated more resources to sales and marketing to augment its brand equity and fuel its long-term growth engine.
The company’s rising economy of scale will allow it to gradually reduce operating expenses and capitalize on the rising popularity of video content and deliver lasting shareholder value.
At the end of June 30, the number of downloads of the company’s Cheers App reached 215.6 million, up from 121 million a year earlier. The increase in the number, a key indicator of the attractiveness and usability of its Cheers App and its e-Mall platform traffic, showed that it had successfully converted viewers of its content to its Cheers App.
Average daily active users (DAUs) of the app grew to 7.1 million from 4.5 million for the same period. Stock Keeping Units (SKUs) on its Cheers e-Mall platform jumped to 231,630 from 19,984.
Gross Merchandise Value (GMV) of the Cheers App reached US$181.2 million in the first six months of this year, compared with US$20 million in the same period of 2020. The increase in GMV was driven significantly by its ability to attract and retain users to its Cheers App through its professionally produced content and its ability to further enhance its product offerings.
The company has a strong commitment to its corporate mission, meticulous execution of growth strategies, methodical expansion in both overseas and domestic markets, proactive engagement of Generation Z users through innovative products, and prudent investment in sales and marketing initiatives. It plans to refine its competitive edge in content-driven e-commerce of premium lifestyle, deepen our expertise in integrating quality content with lifestyle commerce, and expand our brand influence among Generation Z consumers on a global basis.
During the first half year, the resurgence of Covid-19 and its Delta variant caused the Chinese government to impose travel restrictions within mainland China, particularly in the southern regions of the country.
The company temporarily suspended the production of its traditional “Cheers Series” TV programs, thus resulting in a decline in its cost of revenues during the first six month of 2021. Once the travel restrictions are eased, the company will resume its content production activities in the second half of this year.
As of June 30, 2021, the company had cash and cash equivalents of US$20.3 million, compared with US$17.7 million at the end of last year.
Blockchain and AI technologies
Since its establishment in 2016, Glory Star has pioneered a unique, new business model integrating e-commerce services with premium video content. With the use of blockchain and AI technologies in its systems, the company has become a leading online digital media and entertainment company in China, with a strong track record both in terms of viewership and production capabilities. The company launched its Cheers App in 2018 to integrate e-commerce services with professionally generated content (PGC).
During the first half, the company produced many more live streaming shows and started to provide title sponsor advertising services at a higher price point. It also spent substantially on the development of the Cheers Chat and Cheers Car.
The company plans to provide more user-generated content (UGC) by forming partnerships with other platforms. It will allow global users to upload their content to its video platforms in the fourth quarter of this year while users will receive advertising revenue or get rewards from viewers directly.
The company will also allow content providers to use its software-as-a-service (SaaS) supply chain system with the blockchain technology that will help them match with relevant merchandisers. Content providers will be able to share the revenue from the sales of products on their video accounts.
The company’s ability to integrate premium lifestyle content, including short videos, online variety shows, online dramas, live streaming, its Cheers lifestyle video series, e-Mall, and mobile app, along with innovative e-commerce offerings on its platform enables it to pursue its mission of enriching people’s lives.
Its large and active user base has created valuable engagement opportunities with consumers and enhanced platform stickiness with thousands of domestic and international brands.
Non-fungible token
Glory Star’s Naschain platform offers one-stop solutions, which include smart contract, multichain universe and cross-chain consensus mechanisms, to users with its blockchain technology. It can help e-shoppers trace the origins of the products, avoid buying counterfeit goods, lower their logistics costs and protect their privacy.
The company has signed an agreement with the Beijing Minsheng Art Museum to use the company’s non-fungible token (NFT) technology, which can be used in copy-rights’ registration, verification, transaction and valuation, to protect the intellectual property of the museum’s artworks. The company will be able to boost its market share by acquiring some NFT service providers.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
British Virgin Islands, 13th May 2026, ZEX PR WIRE — What separates an experimental AI agent from a truly capable one is its intelligence or the strength of its underlying model. Rather, it’s the strength of the underlying data. Clean, reliable, and comprehensive data is the foundational layer that makes autonomous action possible.
Data is the lifeblood of agents.
Today’s agents are quite capable. They are beginning to trade, interpret probabilistic markets, and interact directly with on-chain systems. However, agents can only act upon the data they receive, meaning the better the data, the better the decision-making.
That’s where Dataline comes in. Tearline is rebranding to Dataline, repositioning itself not only the most comprehensive data provider for agents but also as the most trustworthy, execution-grade data infrastructure for agents to act autonomously.
Unifying, not fragmenting
Crypto is a series of islands, each built using their own tech stack and communities. This poses additional integration complexity when trying to build capable AI agents in crypto. And as any crypto builder knows, the more complex the code, the more room for devastating errors.
Most systems today rely on fragmented data stacks. Hyperliquid SDK for perpetuals, Polymarket for probability signals, Coingecko for token metadata, and more….
Before an agent executes a single trade or reasoning step, it is already operating on top of a heavily engineered coordination system.
Dataline is designed to remove this layer of fragmentation by replacing it with a single structured execution interface for data-intensive agents.
Every single request returns:
-
Natural language intent
-
Structured cross-market output
-
Source attribution
-
Confidence scoring for execution risk
Better data, better decisions
AI agents need to consume data in a language they understand, not one built for humans.
At the core of Dataline is a deterministic pipeline that replaces ad hoc data orchestration:
Intent parsing → Route selection → Schema normalization → Multi-source aggregation → Structured output generation
This architecture converts natural language queries into consistent, cross-market financial outputs, designed specifically for agent-native environments.
Agents are quickly becoming real market participants, executing trades, transfers, and prediction markets. As a result, it is even more important that these agents have access to the best, most comprehensive data to power their decisions.
19.4M transactions as production validation
Dataline is already operating at a meaningful scale:
-
19.4M+ on-chain transactions processed
-
96.4% execution success rate
-
Coverage across BNB Chain, Sui, and TON
-
2.5M+ AI agent interactions via ChatPilot
Dataline is not a prototype; it’s the data lifeline already supporting production-level agent activity.
Confidence as a first-class primitive in crypto data systems
In crypto markets, a raw number is structurally incomplete.
BTC = 67,123 may appear identical across contexts, but the underlying reliability can vary dramatically depending on source quality, freshness, and market dispersion.
Without visibility into these factors, agents operate with false certainty.
Dataline addresses this through a confidence model defined as
Data agreement × source reliability × freshness
Each response is paired with a confidence score between 0 and 1, enabling agents to evaluate for themselves whether data is suitable for execution before acting on it—not after failure occurs.
Confidence is not a feature—it is a contract between data and execution logic.
All-in-one
Dataline consolidates previously siloed data domains into a single structured schema:
-
Crypto markets (spot, derivatives, funding rates)
-
On-chain state (balances, transactions, positions)
-
Prediction markets (Polymarket, Kalshi)
-
News and social signals (X, Farcaster)
-
Web2 APIs and long-tail data sources
Rather than increasing data volume, the focus is on ensuring coherence across execution environments, allowing agents to reason across price, position, sentiment, and narrative in a single request cycle.
Monetization scales with usage
Dataline is now live under its new branding, with developer access available for direct integration and testing. Its commercial model reflects the same shift toward autonomous systems:
-
Subscription tiers for predictable workloads
-
Pay-per-call crypto rails
-
Machine-to-machine micropayment infrastructure
The Dataline model is explicitly designed for machine-scale, high-frequency, usage-driven environments.
Data is no longer just information. Data is the lifeblood of AI agents, and Dataline is building the infrastructure to help agents prosper.
About Dataline
Dataline is building the Full-Chain AI Stack for Web3—composable, secure, and modular AI agents that perceive, reason, and execute across smart contracts, dApps, and traditional websites. Our three flagship products ChatPilot, GhostDriver, and FlowAgent are redefining how people interact with DeFi.
Website: dataline.xyz
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
British Virgin Islands, 13th May 2026, ZEX PR WIRE — What separates an experimental AI agent from a truly capable one is its intelligence or the strength of its underlying model. Rather, it’s the strength of the underlying data. Clean, reliable, and comprehensive data is the foundational layer that makes autonomous action possible.
Data is the lifeblood of agents.
Today’s agents are quite capable. They are beginning to trade, interpret probabilistic markets, and interact directly with on-chain systems. However, agents can only act upon the data they receive, meaning the better the data, the better the decision-making.
That’s where Dataline comes in. Tearline is rebranding to Dataline, repositioning itself not only the most comprehensive data provider for agents but also as the most trustworthy, execution-grade data infrastructure for agents to act autonomously.
Unifying, not fragmenting
Crypto is a series of islands, each built using their own tech stack and communities. This poses additional integration complexity when trying to build capable AI agents in crypto. And as any crypto builder knows, the more complex the code, the more room for devastating errors.
Most systems today rely on fragmented data stacks. Hyperliquid SDK for perpetuals, Polymarket for probability signals, Coingecko for token metadata, and more….
Before an agent executes a single trade or reasoning step, it is already operating on top of a heavily engineered coordination system.
Dataline is designed to remove this layer of fragmentation by replacing it with a single structured execution interface for data-intensive agents.
Every single request returns:
-
Natural language intent
-
Structured cross-market output
-
Source attribution
-
Confidence scoring for execution risk
Better data, better decisions
AI agents need to consume data in a language they understand, not one built for humans.
At the core of Dataline is a deterministic pipeline that replaces ad hoc data orchestration:
Intent parsing → Route selection → Schema normalization → Multi-source aggregation → Structured output generation
This architecture converts natural language queries into consistent, cross-market financial outputs, designed specifically for agent-native environments.
Agents are quickly becoming real market participants, executing trades, transfers, and prediction markets. As a result, it is even more important that these agents have access to the best, most comprehensive data to power their decisions.
19.4M transactions as production validation
Dataline is already operating at a meaningful scale:
-
19.4M+ on-chain transactions processed
-
96.4% execution success rate
-
Coverage across BNB Chain, Sui, and TON
-
2.5M+ AI agent interactions via ChatPilot
Dataline is not a prototype; it’s the data lifeline already supporting production-level agent activity.
Confidence as a first-class primitive in crypto data systems
In crypto markets, a raw number is structurally incomplete.
BTC = 67,123 may appear identical across contexts, but the underlying reliability can vary dramatically depending on source quality, freshness, and market dispersion.
Without visibility into these factors, agents operate with false certainty.
Dataline addresses this through a confidence model defined as
Data agreement × source reliability × freshness
Each response is paired with a confidence score between 0 and 1, enabling agents to evaluate for themselves whether data is suitable for execution before acting on it—not after failure occurs.
Confidence is not a feature—it is a contract between data and execution logic.
All-in-one
Dataline consolidates previously siloed data domains into a single structured schema:
-
Crypto markets (spot, derivatives, funding rates)
-
On-chain state (balances, transactions, positions)
-
Prediction markets (Polymarket, Kalshi)
-
News and social signals (X, Farcaster)
-
Web2 APIs and long-tail data sources
Rather than increasing data volume, the focus is on ensuring coherence across execution environments, allowing agents to reason across price, position, sentiment, and narrative in a single request cycle.
Monetization scales with usage
Dataline is now live under its new branding, with developer access available for direct integration and testing. Its commercial model reflects the same shift toward autonomous systems:
-
Subscription tiers for predictable workloads
-
Pay-per-call crypto rails
-
Machine-to-machine micropayment infrastructure
The Dataline model is explicitly designed for machine-scale, high-frequency, usage-driven environments.
Data is no longer just information. Data is the lifeblood of AI agents, and Dataline is building the infrastructure to help agents prosper.
About Dataline
Dataline is building the Full-Chain AI Stack for Web3—composable, secure, and modular AI agents that perceive, reason, and execute across smart contracts, dApps, and traditional websites. Our three flagship products ChatPilot, GhostDriver, and FlowAgent are redefining how people interact with DeFi.
Website: dataline.xyz
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
JOHANNESBURG, South Africa — South Africa’s online sports betting industry is entering a pivotal new phase. After years of rapid, mobile-driven growth, the sector is now facing increased regulatory scrutiny—most notably through the National Treasury’s proposed 20% national tax on gross gambling revenue (GGR).
The proposal, which closed for public comment in February 2026, is designed to both raise state revenue and address concerns around problem gambling. But its implications run far deeper. For operators, it introduces meaningful cost pressure. For punters, it could reshape the value of every bet placed online.
At its core, this is no longer just a tax debate—it’s about what the South African betting market will look like over the next decade.
A R75 Billion Industry at a Turning Point
South Africa’s gambling sector has expanded rapidly, with gross gambling revenue increasing from approximately R32 billion in 2019/20 to around R75 billion in 2024/25. Sports betting has been the primary driver of that growth, fuelled by:
- Widespread smartphone adoption
- Live and in-play betting markets
- Strong engagement with football, rugby, and cricket
- Aggressive acquisition strategies from bookmakers
The growth story extends beyond sports betting. Online casinos have emerged as a significant contributor to overall GGR, with players gravitating toward slots, live dealer tables, and instant-win games through the same mobile-first platforms that drove betting adoption. Operators like 10bet, ZarBet, Lucky Fish, PantherBet, and YesPlay have built out both verticals—offering sports betting and casino products under one roof—meaning the proposed tax, if enacted, would squeeze margins across the full spectrum of online gambling, not just the sportsbook.
Why the 20% GGR Tax Matters
The structure of the proposed tax is critical. Unlike a profit tax, it applies to gross gambling revenue—the portion bookmakers retain after paying out winnings, but before operational costs.
Given that sportsbook margins typically sit in the 5%–10% range, a 20% tax on GGR is not trivial. It effectively reduces operator margin at a structural level, forcing adjustments elsewhere in the business.
Those adjustments rarely happen in isolation.
How the Market Is Likely to Respond
Operators faced with higher costs tend to respond in predictable ways—not dramatically overnight, but gradually and consistently.
Punters are likely to notice changes in three key areas:
- Odds and pricing: Margins may tighten slightly, particularly on high-volume markets like football and horse racing
- Promotions: Welcome bonuses, free no deposit bonus, free spins no deposit and odds boosts may become less frequent or less generous
- Bonus conditions: Wagering requirements and terms may become stricter to manage risk
Individually, these shifts may seem minor. Collectively, they reduce long-term betting value—especially for regular bettors.
“We’re already seeing punters ask harder questions about value,” said Dennis Kumar, analyst at Betting.za.com. “When the promotional environment tightens, the bettors who understand margins and shop across bookmakers will have a real edge over those who don’t.”
The Risk of Unintended Consequences
The policy goal behind the tax is clear: curb harmful gambling behaviour while ensuring the state captures a fair share of industry revenue.
However, there is a well-documented risk in global markets: over-taxation can weaken the regulated ecosystem.
If licensed bookmakers become less competitive, some bettors may drift toward offshore platforms that:
- Do not pay local taxes
- Operate outside South African regulation
- Offer fewer consumer protections
This creates a paradox. A policy designed to strengthen oversight can, if miscalibrated, push activity into less controlled environments.
Regulation Needs More Than Taxation
A sustainable betting market is rarely built on taxation alone. Effective regulation typically combines multiple levers, including:
- Responsible gambling tools such as deposit limits and self-exclusion
- Enforcement against illegal and offshore operators
- Clear advertising and promotional standards
- Transparency around bonus terms and pricing
The challenge for South Africa is finding the balance between consumer protection and market competitiveness.
What This Means for Punters
For everyday bettors, the shift will be gradual but meaningful.
The era of aggressive promotions and high-value bonuses may begin to taper, replaced by a more measured, efficiency-driven market. Odds may become slightly sharper, and value harder to find.
According to analysis from Betting.za.com, this shift places greater emphasis on informed betting. Comparing bookmakers, understanding margins, and evaluating the real value behind offers will become more important than simply chasing bonuses.
In other words, the advantage may shift from promotions to knowledge.
Where the Market Goes From Here
The proposed 20% GGR tax represents more than a fiscal policy—it marks a transition point for the South African betting industry.
The market is likely to become:
- More regulated
- More consolidated
- Less promotion-driven
- More focused on long-term sustainability
Whether that transition ultimately benefits or harms punters will depend on how well policy is implemented—and how effectively the regulated market remains competitive.
One thing is clear: the future of online sports betting in South Africa will look very different from its past.
We Recommend the punter to try the following sports betting sites:
|
# |
SportsBetting |
Welcome Bonus Package |
Bonus Code |
|
1 |
Free Spins & Free Bets Up To R5,000 |
N/A |
|
|
2 |
50 Free Spins on Big Blue Fishing |
50BBF |
|
|
3 |
R25 Free Bet + 50 Free Spins |
On Sign-Up |
|
|
4 |
50 Free Spins Bonus + R22,000 High-Roller Bonuses Over 3 Deposits. |
HIPANTHER |
|
|
5 |
100% bonus up to R3,000 |
N/A (Automatic) |
|
|
6 |
30 Free Spins On Sign-Up + R35,000 Welcome Bonus |
JABULA30 |
|
|
7 |
R25 Free Bet On Sign Up |
On Registration |
About Betting.za.com
Betting.za.com is South Africa’s leading authority on legal online betting sites, covering bookmaker reviews, sports betting trends, regulatory developments, and market analysis. As the regulatory landscape evolves, the platform helps punters compare licensed operators, understand their rights, and make more informed decisions with confidence.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Tearline Rebrands to Dataline, the Data Lifeline for Autonomous AI Agents
Tearline Rebrands to Dataline, the Data Lifeline for Autonomous AI Agents
The Future of Online Betting in SA: Less Generous, More Competitive
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