Invest ideasNews
30 Apr 2026, 16:34
UNI Technical Analysis 30 April 2026: Support and Resistance Levels
UNI at 3.19$ level near 3.1029$ primary support; if it holds, movement to 3.36$ resistance possible. In breakdown, 2.84$ downside target, BTC correlation plays a critical role.
30 Apr 2026, 16:30
XRP price stuck below $1.5, but bullish signals are piling up
XRP is entering May with rising bullish sentiment and renewed trader activity following a series of April developments tied to retail adoption and institutional use cases. According to Santiment, XRP’s social sentiment has reached its second-highest level in two years, with the firm linking the surge in part to Rakuten’s recent integration of XRP into its ecosystem. XRP market sentiment chart. Source: Santiment The rollout allows users of Rakuten Wallet to convert loyalty points into XRP and spend the asset across more than 5 million merchant locations through QR-based payments. Rakuten Pay’s user base of about 44 million accounts places XRP in front of one of Japan’s largest consumer networks, while more than 3 trillion loyalty points, valued at roughly $23 billion, can now flow into the asset through conversions within the app. RippleX described the rollout as one of the largest retail-facing deployments of XRP so far. Derivatives positioning and whale activity point to accumulation According to CryptoQuant analyst Arab Chain, XRP’s 30-day average funding rate on Binance has climbed to 0.0002, the highest level since early February, after remaining negative for months and dropping as low as -0.0007 during periods dominated by short positioning. Positive funding rates indicate that traders are increasingly opening long positions, suggesting a stronger appetite for upside exposure in derivatives markets. Meanwhile, wallets holding between 10 million and 100 million XRP accumulated 420 million tokens over an 11-day stretch, while addresses with at least 1 billion XRP added another 730 million, bringing total whale purchases to 1.15 billion XRP during the same period. Despite the increase in positioning, XRP has continued to trade below recent highs. Data from CoinGecko shows the token at $1.37, up 0.2% over 24 hours, with the price still nearly 10% below its April high of $1.51. Market capitalization stood near $84.42 billion, with about 62 billion tokens in circulation. This level has now turned into the next key resistance zone that the token must clear. According to Santiment, strong positive sentiment after adoption news does not usually lead to instant price breakouts, and any impact may appear later once the early excitement settles down. Institutional activity expands alongside retail adoption A separate development on April 29 has added to XRP’s institutional narrative, with a $59 million RLUSD settlement processed on the XRP Ledger at a transaction fee of $0.000188. On-chain researcher Ripple Bull Winkle said the transaction demonstrates live production use of Ripple’s payment infrastructure for large-scale cross-border settlements. RLUSD was designed for enterprise use cases such as treasury operations and settlement flows, and is integrated into Ripple Payments alongside existing institutional clients, including BKK Forex and iSend. Comparable transactions on traditional SWIFT rails can carry fees between 0.5% and 1% of notional value and take two to three days to settle, placing the XRPL transaction in contrast with a near-instant and sub-penny cost profile. Regulatory developments have also added another layer. On April 27, NYSE Arca filed a proposal with the US Securities and Exchange Commission to include XRP among eligible assets for commodity-based trust shares under Rule 8.201-E, alongside Bitcoin, Ethereum, and Solana. The filing requires at least 85% of a trust’s holdings to meet qualifying criteria and places XRP within a framework already used for exchange-traded products. Meanwhile, demand for XRP ETFs has picked up, with data from SoSoValue showing nearly $90 million in inflows over the past three weeks, with no negative days recorded since April 10. Considering the combination of retail access through Rakuten, whale accumulation, and stronger derivatives positioning, XRP price could see a delayed move higher if demand continues beyond the initial sentiment phase. The post XRP price stuck below $1.5, but bullish signals are piling up appeared first on Invezz
30 Apr 2026, 16:30
Salesforce AI Roadmap: How Crowdsourcing Drives Enterprise Innovation at Breakneck Speed
BitcoinWorld Salesforce AI Roadmap: How Crowdsourcing Drives Enterprise Innovation at Breakneck Speed Salesforce is rewriting the rules of enterprise AI development by crowdsourcing its AI roadmap directly from customers. In an era where artificial intelligence evolves faster than most companies can adapt, Salesforce has found a strategy that keeps it ahead of the curve. The customer management software giant now meets with some clients weekly to shape product decisions. This approach turns 18,000 customers into a real-time innovation engine. By listening closely, Salesforce builds tools that solve actual business problems — not hypothetical ones. This article explores how this customer-driven model works, why it matters, and what it means for the future of enterprise AI. Salesforce AI Roadmap: A Customer-First Revolution Salesforce believes its customers hold the key to building better AI products. Jayesh Govindarajan, executive vice president at Salesforce AI, told Bitcoin World that the company treats its customer base as a “wellspring of information.” These aren’t annual surveys or quarterly check-ins. Salesforce engineering teams meet with select customers every week. The goal is to understand real-world pain points and build solutions that address them immediately. This strategy stands out because of its scale. Most companies collect feedback sporadically. Salesforce, however, integrates customer input into every stage of development. The company uses rotating groups of clients to test features before broad release. This bottom-up approach helps Salesforce react quickly to market shifts. When large language models (LLMs) emerged, enterprises lacked the “last-mile tech” to use them effectively. Salesforce responded by launching Agentforce, its agent management platform, in late 2024. How Weekly Customer Meetings Shape Product Releases Muralidhar Krishnaprasad, president and CTO of Salesforce engineering, emphasized the speed of this feedback loop. “We can’t wait three months or six months to get feedback,” he told Bitcoin World. “We are literally reacting to it, week by week, month by month.” This rapid cycle allows Salesforce to push code faster than traditional enterprise software cycles. The company uses internal gates to test new features and gather early feedback before wide release. Engine, a travel management platform, participates in this feedback loop. CEO Elia Wallen meets with Salesforce weekly. Through this partnership, Engine gains early access to AI tools. Wallen noted that feedback from Engine directly influenced product changes. For example, he tested a voice AI agent to book a hotel. He found the interaction unnatural. Salesforce adjusted the agent shortly after, and A/B tests showed better results. Enterprise AI Strategy: Building Agentforce Through Collaboration Agentforce emerged from direct customer needs. Govindarajan explained that the platform was built on themes like agent context, observability, and deterministic controls. These themes came from classifying problems customers faced in the real world. “The innovation that we’ve brought is a direct result of us working with a vast number of these customers,” he said. Salesforce then broke down problems into what could be solved at the LLM layer and what required new components. This collaborative model extends beyond product features. Customers like PenFed, a federal credit union, have used Salesforce tools to build their own workflows. Shree Reddy, PenFed’s chief innovation officer, said the company developed an IT service management (ITSM) workflow using Agentforce. Salesforce saw the success and rolled it out to the broader platform. This shows how customer innovations can become enterprise-wide solutions. The Risks of Customer-Driven AI Development This approach has a downside. It assumes customers always know what they need. Many enterprises are still figuring out AI’s role in their business. Some have yet to find value from the technology. Relying on their input for long-term product development carries risk. Beta testing and early access don’t guarantee long-term usage or future contracts. Salesforce must balance customer feedback with its own vision for AI’s evolution. Internal AI Adoption: Salesforce Eats Its Own Dog Food Salesforce also uses its own AI tools internally. Govindarajan said employees are the biggest users of the company’s AI products. This internal usage provides another layer of feedback. When ChatGPT launched, Salesforce shifted resources to create a new AI team. Krishnaprasad noted that this strategy has worked during previous innovation waves. “As the technology changes, we never know what’s going to come out a month from now,” he said. “We will adapt to it.” This dual feedback loop — from customers and employees — helps Salesforce stay nimble. The company can test new features internally before releasing them externally. It also ensures that products are useful for real-world scenarios. This approach aligns with Google’s E-E-A-T guidelines by demonstrating hands-on experience and expertise. Comparison: Traditional vs. Customer-Driven AI Development To understand the impact, compare Salesforce’s model with traditional enterprise software development: Traditional: Annual or quarterly feedback cycles. Products built on market research and internal assumptions. Slow to adapt to new technologies. Salesforce: Weekly customer meetings. Products built on real-time problem identification. Rapid iteration and deployment. Features shaped by actual usage data. This comparison highlights why Salesforce can release new products faster than competitors. The company doesn’t wait for market trends to emerge. It builds solutions based on what customers are experiencing right now. Real-World Impact: Case Studies from Engine and PenFed Engine’s experience shows how direct feedback improves product quality. Wallen said the access to pre-release tools helps his company stay competitive. “If somebody is willing to actually help curate and build products that we need, they can help us better,” he said. This partnership gives Engine a voice in product development. PenFed’s story demonstrates how customer innovations can scale. Reddy explained that the credit union built an ITSM workflow using existing Agentforce tools. Salesforce recognized the value and integrated it into the broader platform. This creates a virtuous cycle: customers build solutions, Salesforce scales them, and other enterprises benefit. Conclusion Salesforce’s crowdsourced AI roadmap represents a fundamental shift in enterprise software development. By meeting with customers weekly and integrating their feedback into product decisions, Salesforce builds AI tools that solve real problems. The Agentforce platform, voice AI, and Slack integrations all benefit from this approach. While risks exist — such as relying on customers who are still learning AI — the strategy has proven effective. Salesforce demonstrates that listening to users isn’t just good customer service. It’s a competitive advantage in the fast-moving world of enterprise AI. FAQs Q1: What is Salesforce’s crowdsourced AI roadmap? A1: Salesforce builds its AI product strategy by meeting with select customers weekly. These meetings provide real-time feedback that shapes feature development and product releases. The company uses this input to prioritize what to build next. Q2: How does Agentforce fit into Salesforce’s AI strategy? A2: Agentforce is Salesforce’s agent management platform, launched in late 2024. It was developed based on customer needs for “last-mile tech” to use large language models effectively. The platform allows enterprises to build and manage AI agents. Q3: Which companies participate in Salesforce’s customer feedback loop? A3: Companies like Engine (a travel management platform) and PenFed (a federal credit union) participate. They meet with Salesforce weekly and get early access to AI tools. Their feedback directly influences product changes. Q4: What are the risks of customer-driven AI development? A4: The main risk is that customers may not always know what they need, especially with rapidly evolving AI technology. Early enthusiasm for beta features doesn’t guarantee long-term usage. Salesforce must balance customer input with its own strategic vision. Q5: How does Salesforce use AI internally? A5: Salesforce employees are the biggest users of the company’s AI tools. This internal usage provides additional feedback and helps test features before public release. The company also shifted resources to create a dedicated AI team after ChatGPT launched. This post Salesforce AI Roadmap: How Crowdsourcing Drives Enterprise Innovation at Breakneck Speed first appeared on BitcoinWorld .
30 Apr 2026, 16:26
World Liberty Financial (WLFI) Plunges to New ATL: Has Trump’s Family Ruined Crypto?
Most leading cryptocurrencies, including Bitcoin (BTC) and Ethereum (ETH), have charted minor price declines following the Fed’s decision to keep interest rates unchanged and amid ongoing geopolitical tensions in the Middle East. World Liberty Financial (WLFI), though, has performed much more poorly, falling 16% over the past 24 hours. Another Red Day WLFI saw the light of day in September last year and quickly gained momentum, with its price soaring to nearly $0.25 and its market cap surpassing $6.6 billion. Over the past several months, however, it has been on a major decline, and the latest 24 hours only worsened its condition. Currently, WLFI trades at around $0.06, representing a new all-time low. WLFI Price, Source: CoinGecko The latest retreat follows a controversial proposal that was initially submitted to the World Liberty governance in mid-April and which went live for voting on April 29. The plan covers over 62 billion locked WLFI tokens, which would stay off the market for at least two years if approved. Founders, team members, and partners could have up to 45.2 billion units moved to a new two-year lock, with 4.5 billion burned if they choose to join. Early supporters would have up to 17 billion coins shifted to the same place and later vesting with no burn involved. The proposal will remain open for voting until May 6, and as of now, 99.94% of participants have supported it. WLFI’s association with Donald Trump and his inner circle fueled backlash after the token’s collapse, with some analysts arguing that the connection contributed to the steep losses investors suffered. X user Carl Moon told his 1.5 million followers that “Trump’s family has ruined crypto,” reminding that other tokens related to POTUS, including TRUMP and MELANIA, have crashed by over 90% since their launch. Additional Drama Besides the controversial proposal, WLFI recently made the headlines after Justin Sun filed a lawsuit against the project. Tron’s founder alleged that certain team members have frozen all of his tokens, stripped him of his voting rights, and even threatened to burn his holdings without proper justification. Even though he is suing the project, Sun said he remains a strong supporter of President Trump and “his administration’s efforts to make America crypto-friendly.” WLFI also drew attention after reports surfaced that one of its partners had previously been connected to a suspected international fraud syndicate. The blockchain network in question is called AB, and it struck a deal with World Liberty Financial in November last year. The post World Liberty Financial (WLFI) Plunges to New ATL: Has Trump’s Family Ruined Crypto? appeared first on CryptoPotato .
30 Apr 2026, 16:26
Ripple Price Analysis: XRP Sent Back to No Man’s Land After Clean Rejection
XRP is closing out April at $1.37, as it has surrendered the tentative momentum it built through the middle of the month. A promising RSI setup that had buyers eyeing a potential channel breakout less than a week ago has fully unwound, with the price reversing from below the upper channel boundary and drifting back toward the lower end of its range as May approaches. The rejection was clean and unambiguous, and it has reset the technical picture back to square one. Ripple Price Analysis: The USDT Pair On the XRP/USDT pair, the setup that looked slightly constructive in mid-April has played out as a rejection rather than a breakout. XRP failed to post a sustained close above the channel ceiling and the 100-day moving average, and has since given back all of those gains, sliding from the $1.50 area back to $1.37. The RSI has also faded to below 50 in no-man’s land. The 100-day MA at ~$1.50 and the 200-day MA converging with the $1.80 supply zone remain the levels that define the ceiling. Neither was seriously threatened lately. On the support side, the February wick low at $1.20 remains the hard floor. A close below this level would suggest XRP is now tracking toward the lower channel boundary rather than building for another breakout attempt, and would put the critical $1 support zone back in active focus heading into May. The BTC Pair Against Bitcoin, the picture has continued to deteriorate. XRP/BTC has slipped further to 1,800 sats, now sitting directly on the horizontal support level visible on the chart and slightly above the descending channel’s lower boundary at 1,600 sats. The RSI on this pair has also weakened below the 40 range, with the softest reading in several weeks. Unlike the USDT pair, which at least reached a neutral 50, the BTC ratio has shown no meaningful recovery attempt at any point during April. The proximity to the lower channel boundary makes the next few daily closes significant. A breach of the 1,800 sats support level on a closing basis would represent a full channel breakdown and open the path toward the lower trendline and potentially the 1,500 sats support zone if selling pressure accelerates. The 100-day MA at ~2,000 sats and the 200-day MA near 2,100 sats both sit far overhead and are still declining, confirming that XRP continues to bleed relative to Bitcoin regardless of what happens in dollar terms. A genuine ratio recovery requires, at minimum, a reclaim of the 2,000 sat level, and there is no technical evidence on this chart that such a move is imminent. The post Ripple Price Analysis: XRP Sent Back to No Man’s Land After Clean Rejection appeared first on CryptoPotato .
30 Apr 2026, 16:26
MegaETH Token Launches as Ethereum Layer-2 Network's Novel Rewards System Is Tested
Ethereum layer-2 network MegaETH will unlock its native MEGA token over time, and reward it to users, as key benchmarks are met.
